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Publisher: Inderscience Publishers   (Total: 434 journals)

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Showing 1 - 200 of 434 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 12)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 14)
Afro-Asian J. of Finance and Accounting     Hybrid Journal   (Followers: 7, SJR: 0.205, h-index: 3)
American J. of Finance and Accounting     Hybrid Journal   (Followers: 21)
Asian J. of Management Science and Applications     Hybrid Journal   (Followers: 4)
Atoms for Peace: an Intl. J.     Hybrid Journal   (Followers: 3, SJR: 0.103, h-index: 1)
Electronic Government, an Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.185, h-index: 23)
EuroMed J. of Management     Hybrid Journal  
European J. of Cross-Cultural Competence and Management     Hybrid Journal   (Followers: 7)
European J. of Industrial Engineering     Hybrid Journal   (Followers: 9, SJR: 0.987, h-index: 16)
European J. of Intl. Management     Hybrid Journal   (Followers: 1, SJR: 0.258, h-index: 10)
Global Business and Economics Review     Hybrid Journal   (Followers: 1, SJR: 0.13, h-index: 7)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Intl. J. of Abrasive Technology     Hybrid Journal   (Followers: 2, SJR: 0.207, h-index: 10)
Intl. J. of Accounting and Finance     Hybrid Journal   (Followers: 14)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 14, SJR: 0.143, h-index: 9)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 8, SJR: 0.245, h-index: 13)
Intl. J. of Adaptive and Innovative Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 4)
Intl. J. of Advanced Intelligence Paradigms     Hybrid Journal   (Followers: 3, SJR: 0.39, h-index: 5)
Intl. J. of Advanced Mechatronic Systems     Hybrid Journal   (Followers: 2, SJR: 0.212, h-index: 7)
Intl. J. of Advanced Media and Communication     Hybrid Journal   (Followers: 21, SJR: 0.103, h-index: 9)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 8, SJR: 0.24, h-index: 4)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 24)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 3)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 5)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 6, SJR: 0.212, h-index: 8)
Intl. J. of Agricultural Resources, Governance and Ecology     Hybrid Journal   (Followers: 2, SJR: 0.125, h-index: 17)
Intl. J. of Alternative Propulsion     Hybrid Journal   (Followers: 8, SJR: 0.103, h-index: 9)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 10, SJR: 0.401, h-index: 9)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 1, SJR: 0.455, h-index: 11)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 4, SJR: 0.369, h-index: 10)
Intl. J. of Applied Nonlinear Science     Hybrid Journal   (Followers: 1)
Intl. J. of Applied Pattern Recognition     Hybrid Journal   (Followers: 5)
Intl. J. of Applied Systemic Studies     Hybrid Journal   (SJR: 0.138, h-index: 5)
Intl. J. of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 7)
Intl. J. of Artificial Intelligence and Soft Computing     Hybrid Journal   (Followers: 10)
Intl. J. of Arts and Technology     Hybrid Journal   (Followers: 6, SJR: 0.114, h-index: 10)
Intl. J. of Auditing Technology     Hybrid Journal   (Followers: 5)
Intl. J. of Automation and Control     Hybrid Journal   (Followers: 8, SJR: 0.297, h-index: 7)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 3)
Intl. J. of Automotive Technology and Management     Hybrid Journal   (Followers: 6, SJR: 0.356, h-index: 15)
Intl. J. of Autonomic Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Autonomous and Adaptive Communications Systems     Hybrid Journal   (Followers: 3, SJR: 0.125, h-index: 10)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 5)
Intl. J. of Banking, Accounting and Finance     Hybrid Journal   (Followers: 13, SJR: 0.153, h-index: 5)
Intl. J. of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 8)
Intl. J. of Behavioural and Healthcare Research     Hybrid Journal   (Followers: 8)
Intl. J. of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 2)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 18)
Intl. J. of Bio-Inspired Computation     Hybrid Journal   (Followers: 1, SJR: 0.77, h-index: 25)
Intl. J. of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 13, SJR: 0.231, h-index: 13)
Intl. J. of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 4)
Intl. J. of Biomedical Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.213, h-index: 10)
Intl. J. of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 6)
Intl. J. of Biometrics     Hybrid Journal   (Followers: 4, SJR: 0.244, h-index: 10)
Intl. J. of Biotechnology     Hybrid Journal   (Followers: 5, SJR: 0.128, h-index: 15)
Intl. J. of Bonds and Derivatives     Hybrid Journal   (Followers: 1)
Intl. J. of Business and Emerging Markets     Hybrid Journal   (Followers: 2)
Intl. J. of Business and Globalisation     Hybrid Journal   (Followers: 2, SJR: 0.21, h-index: 7)
Intl. J. of Business and Systems Research     Hybrid Journal   (Followers: 1, SJR: 0.205, h-index: 11)
Intl. J. of Business Competition and Growth     Hybrid Journal   (Followers: 5)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 13)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 2)
Intl. J. of Business Excellence     Hybrid Journal   (Followers: 3, SJR: 0.333, h-index: 12)
Intl. J. of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 6)
Intl. J. of Business Governance and Ethics     Hybrid Journal   (Followers: 4, SJR: 0.222, h-index: 8)
Intl. J. of Business Information Systems     Hybrid Journal   (Followers: 15, SJR: 0.264, h-index: 18)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 10, SJR: 0.273, h-index: 13)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 30, SJR: 0.196, h-index: 13)
Intl. J. of Business Intelligence and Systems Engineering     Hybrid Journal  
Intl. J. of Business Performance and Supply Chain Modelling     Hybrid Journal   (Followers: 16)
Intl. J. of Business Performance Management     Hybrid Journal   (Followers: 8, SJR: 0.194, h-index: 15)
Intl. J. of Business Process Integration and Management     Hybrid Journal   (Followers: 12, SJR: 0.172, h-index: 15)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 25)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 2)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 3)
Intl. J. of Collaborative Engineering     Hybrid Journal  
Intl. J. of Collaborative Enterprise     Hybrid Journal  
Intl. J. of Collaborative Intelligence     Hybrid Journal   (Followers: 1)
Intl. J. of Communication Networks and Distributed Systems     Hybrid Journal   (Followers: 7, SJR: 0.262, h-index: 9)
Intl. J. of Comparative Management     Hybrid Journal  
Intl. J. of Competitiveness     Hybrid Journal   (Followers: 2)
Intl. J. of Complexity in Applied Science and Technology     Hybrid Journal  
Intl. J. of Complexity in Leadership and Management     Hybrid Journal   (Followers: 28)
Intl. J. of Computational Biology and Drug Design     Hybrid Journal   (Followers: 1, SJR: 0.272, h-index: 8)
Intl. J. of Computational Complexity and Intelligent Algorithms     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Economics and Econometrics     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Intelligence in Bioinformatics and Systems Biology     Hybrid Journal   (Followers: 10)
Intl. J. of Computational Intelligence Studies     Hybrid Journal   (Followers: 2)
Intl. J. of Computational Materials Science and Surface Engineering     Hybrid Journal   (Followers: 6, SJR: 0.159, h-index: 6)
Intl. J. of Computational Science and Engineering     Hybrid Journal   (Followers: 1, SJR: 0.34, h-index: 12)
Intl. J. of Computational Systems Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Vision and Robotics     Hybrid Journal   (Followers: 4, SJR: 0.123, h-index: 4)
Intl. J. of Computer Aided Engineering and Technology     Hybrid Journal   (Followers: 2, SJR: 0.112, h-index: 7)
Intl. J. of Computer Applications in Technology     Hybrid Journal   (Followers: 2, SJR: 0.309, h-index: 20)
Intl. J. of Computers in Healthcare     Hybrid Journal   (Followers: 2)
Intl. J. of Computing Science and Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.385, h-index: 10)
Intl. J. of Continuing Engineering Education and Life-Long Learning     Hybrid Journal   (Followers: 3, SJR: 0.217, h-index: 16)
Intl. J. of Convergence Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Corporate Governance     Hybrid Journal   (Followers: 4)
Intl. J. of Corporate Strategy and Social Responsibility     Hybrid Journal   (Followers: 3)
Intl. J. of Creative Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Critical Accounting     Hybrid Journal   (Followers: 2)
Intl. J. of Critical Computer-Based Systems     Hybrid Journal   (SJR: 0.22, h-index: 6)
Intl. J. of Critical Infrastructures     Hybrid Journal   (Followers: 2, SJR: 0.277, h-index: 18)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 3, SJR: 0.381, h-index: 10)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 15, SJR: 0.289, h-index: 13)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 13, SJR: 0.152, h-index: 8)
Intl. J. of Data Science     Hybrid Journal   (Followers: 8)
Intl. J. of Decision Sciences, Risk and Management     Hybrid Journal   (Followers: 9)
Intl. J. of Decision Support Systems     Hybrid Journal  
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 12)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 5)
Intl. J. of Digital Signals and Smart Systems     Hybrid Journal  
Intl. J. of Diplomacy and Economy     Hybrid Journal   (Followers: 5)
Intl. J. of Dynamical Systems and Differential Equations     Hybrid Journal   (Followers: 1, SJR: 0.173, h-index: 9)
Intl. J. of Earthquake and Impact Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Economic Policy in Emerging Economies     Hybrid Journal   (Followers: 2, SJR: 0.228, h-index: 5)
Intl. J. of Economics and Accounting     Hybrid Journal   (Followers: 1)
Intl. J. of Economics and Business Research     Hybrid Journal   (Followers: 3, SJR: 0.102, h-index: 1)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 5, SJR: 0.193, h-index: 2)
Intl. J. of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 9, SJR: 0.234, h-index: 9)
Intl. J. of Electronic Banking     Hybrid Journal   (Followers: 5)
Intl. J. of Electronic Business     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Customer Relationship Management     Hybrid Journal   (Followers: 2, SJR: 0.192, h-index: 8)
Intl. J. of Electronic Democracy     Hybrid Journal   (Followers: 1)
Intl. J. of Electronic Finance     Hybrid Journal   (Followers: 4, SJR: 0.2, h-index: 1)
Intl. J. of Electronic Governance     Hybrid Journal   (SJR: 0.383, h-index: 9)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 2, SJR: 0.195, h-index: 18)
Intl. J. of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 7, SJR: 0.148, h-index: 7)
Intl. J. of Electronic Security and Digital Forensics     Hybrid Journal   (Followers: 9, SJR: 0.221, h-index: 8)
Intl. J. of Embedded Systems     Hybrid Journal   (Followers: 5, SJR: 0.252, h-index: 9)
Intl. J. of Emergency Management     Hybrid Journal   (Followers: 11, SJR: 0.492, h-index: 17)
Intl. J. of Energy Technology and Policy     Hybrid Journal   (Followers: 7, SJR: 0.131, h-index: 11)
Intl. J. of Engineering Management and Economics     Hybrid Journal   (Followers: 4)
Intl. J. of Engineering Systems Modelling and Simulation     Hybrid Journal   (Followers: 9, SJR: 0.192, h-index: 9)
Intl. J. of Enterprise Network Management     Hybrid Journal   (SJR: 0.118, h-index: 6)
Intl. J. of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1, SJR: 0.213, h-index: 7)
Intl. J. of Entrepreneurship and Innovation Management     Hybrid Journal   (Followers: 27, SJR: 0.238, h-index: 15)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 26, SJR: 0.294, h-index: 16)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 5, SJR: 0.147, h-index: 10)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 2, SJR: 0.241, h-index: 35)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 15, SJR: 0.142, h-index: 14)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 4, SJR: 0.142, h-index: 11)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 3)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 5)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 3)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.13, h-index: 15)
Intl. J. of Exergy     Hybrid Journal   (Followers: 2, SJR: 0.667, h-index: 20)
Intl. J. of Experimental and Computational Biomechanics     Hybrid Journal   (Followers: 8)
Intl. J. of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 5)
Intl. J. of Export Marketing     Hybrid Journal   (Followers: 2)
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 1)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 15)
Intl. J. of Forensic Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Forensic Engineering and Management     Hybrid Journal   (Followers: 3)
Intl. J. of Foresight and Innovation Policy     Hybrid Journal   (Followers: 5, SJR: 0.219, h-index: 14)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 4, SJR: 0.101, h-index: 7)
Intl. J. of Fuzzy Computation and Modelling     Hybrid Journal   (Followers: 2)
Intl. J. of Gender Studies in Developing Societies     Hybrid Journal   (Followers: 4)
Intl. J. of Global Energy Issues     Hybrid Journal   (Followers: 9, SJR: 0.18, h-index: 19)
Intl. J. of Global Environmental Issues     Hybrid Journal   (Followers: 2, SJR: 0.149, h-index: 15)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 2, SJR: 0.431, h-index: 10)
Intl. J. of Globalisation and Small Business     Hybrid Journal   (Followers: 11, SJR: 0.293, h-index: 9)
Intl. J. of Governance and Financial Intermediation     Hybrid Journal  
Intl. J. of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 3, SJR: 0.148, h-index: 10)
Intl. J. of Grid and Utility Computing     Hybrid Journal   (SJR: 0.235, h-index: 8)
Intl. J. of Happiness and Development     Hybrid Journal   (Followers: 7)
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 7, SJR: 0.155, h-index: 13)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7, SJR: 0.154, h-index: 15)
Intl. J. of High Performance Computing and Networking     Hybrid Journal   (Followers: 4, SJR: 0.362, h-index: 10)
Intl. J. of High Performance Systems Architecture     Hybrid Journal   (Followers: 6, SJR: 0.301, h-index: 7)
Intl. J. of Higher Education and Sustainability     Hybrid Journal   (Followers: 5)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 4)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 16)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 13)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 25, SJR: 0.148, h-index: 11)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 13)
Intl. J. of Humanitarian Technology     Hybrid Journal  
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.181, h-index: 3)
Intl. J. of Hydromechatronics     Hybrid Journal  
Intl. J. of Image Mining     Hybrid Journal   (Followers: 1)
Intl. J. of Immunological Studies     Hybrid Journal   (Followers: 1)
Intl. J. of Indian Culture and Business Management     Hybrid Journal  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.433, h-index: 19)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 4)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 6)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.144, h-index: 5)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 18, SJR: 0.134, h-index: 8)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 10, SJR: 0.323, h-index: 10)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 8)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 25)

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Journal Cover International Journal of Business Intelligence and Data Mining
  [SJR: 0.196]   [H-I: 13]   [30 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1743-8187 - ISSN (Online) 1743-8195
   Published by Inderscience Publishers Homepage  [434 journals]
  • Risk assessment and management in enterprise resource planning by advanced
           system engineering theory
    • Authors: R. Valanarasu, A. Christy
      Pages: 3 - 14
      Abstract: An ambitious task is to conduct a project related to enterprise resource planning (ERP). In any of the ERP business enterprises, the technological, psychosomatic and sociological characteristics are included. Managing such characteristics in any enterprises is high complex. The ERP as such categorised on the basis of implementation, software, supply chain management, resources, management and optimisation. These characteristics are high risk to handle. The system still seems to be a growing system that has to be moulded into many forms. The aim of this manuscript is to present a risk assessment and management (RAM) in ERP by advanced system engineering theory.
      Keywords: enterprise resource planning; ERP; risk assessment; risk value; risk management
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 3 - 14
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088420
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Performance amelioration of MANETs using cooperative routing with
           cross-layer design
    • Authors: S. Mylsamy, J. Premalatha
      Pages: 15 - 25
      Abstract: In traditional routing, there are various routing protocol used for MANETs depending on the environment. The opportunistic routing protocol is used as the basic protocol. In the CORBG, location-based adaptive mechanism was created and improves the network performance. The basic function of OR is its ability to overhear the transmitted packet and to coordinate among relaying nodes. A new routing protocol named cooperative opportunistic routing based on geographic (CORBG) location has been implemented to get better network performance. In the proposed work, network optimisation might be attained by CORBG protocol with cross-layer between network and transport layer that evaluates the performance based on the network QoS parameters like throughput, delay and energy consumption. In MANETs by reason of dynamic communications and their decentralised admin makes the network becomes more risk to have more attack. To prevent such network problems, security mechanisms were introduced.
      Keywords: cross layer design; cooperative opportunistic routing based on geographic location; energy consumption
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 15 - 25
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088426
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Students search interest model over an organisation based on web log data
    • Authors: A.R. Sivakumaran, P. Marikkannu
      Pages: 26 - 39
      Abstract: Browsing information through web has become part and parcel of life. There is hardly any user who does not browse through web. Generally, any user when in search for content only looks at the top ten pages that get displayed in the web search. Therefore, it has been proposed that the information such as the link that is created between both visited and unvisited web pages along with the path that is chosen in the search query needs a novel technique to give the best performance. The operation feature matrix (OFM) is used as one of the novel functionalities that have been used for extracting the data from the web. The automatically identified user profile is the graph-based that is called as the modified page outlook (MPO) graph was proposed that involves a link between the visited and the unvisited web pages.
      Keywords: web mining; web log data inter relation; intra-relation; total number of paths; total number of relations modified page outlook; MOP
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 26 - 39
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088419
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Survey of various methods for diagnostic signatures for cutaneous melanoma
           from genetic and imaging data
    • Authors: K. Thenmozhi, M. Rajesh Babu
      Pages: 40 - 51
      Abstract: Early diagnosis of cutaneous melanoma is very hard for experienced dermatologists. Even though a lot of advanced imaging techniques and clinical diagnostic algorithms such as dermoscopy and the ABCD rule of dermoscopy respectively are available. The accuracy is an issue of distress (estimated to be about 75%-85%) especially with oblique pigmented lesions. An effective diagnosis can be achieved by reducing the viewer variability's found in dermatologists' examinations. In order to improve some of existing methods and budding new techniques to ease accurate, fast and reliable diagnosis of cutaneous melanoma. In this paper, different types diagnostic system of melanoma namely, pre-processing feature extraction, feature selection and classification is explained. The results of feature selection were optimised from advanced classes of classification techniques; namely, two weighted k-nearest neighbour (k-NN) classifiers (k = 1, 30), a decision tree (DT), and the random forest (RF) algorithm are employed.
      Keywords: classification; composite biomarkers; cutaneous melanoma CM; dermoscopy and feature selection
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 40 - 51
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088422
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • UPFC damping controller design using multi-objective evolutionary
           algorithms
    • Authors: G. Kannayeram, P.S. Manoharan, M. Willjuice Iruthayarajan, T. Sivakumar
      Pages: 52 - 74
      Abstract: In this paper, modified non-dominated sorting genetic algorithm-II (MNSGA-II)-based optimal damping control of unified power flow controller (UPFC) has been designed to enhance the damping of low frequency oscillations in power systems. The robust damping of UPFC controller design is formulated as a multi-objective optimisation problem, thereby minimising the integral squared error (ISE) of speed deviation and input control signal (u) under a wide range of operating conditions. The effectiveness of the proposed controller is confirmed through nonlinear time domain simulation and Eigen value analysis. The results are compared with NSGA-II and conventional method. Simulation result reveals that the obtained Pareto-front using MNSGA-II-based UPFC controllers are better and uniformly distributed due to the controlled elitism and dynamic crowding distance concepts. The proposed modulation index of shunt inverter (mE)-based damping controller is superior to the other damping controllers under different loading conditions and improves the stability of system.
      Keywords: flexible AC transmission systems; FACTS; unified power flow controller; UPFC; non-dominated sorting genetic algorithm; NSGA-II; modified NSGA-II; MNSGA-II; integral squared error; ISE; genetic algorithmgravitational search algorithm;
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 52 - 74
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088425
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • FIRA: focused information retrieval algorithm
    • Authors: N. Kalpana, S. Appavu Alias Balamurugan
      Pages: 75 - 94
      Abstract: Presently, sight and sound information becomes available quickly because of the propelled interactive media catching gadgets such as computerised video recorder, portable camera, etc. As ordinary inquiry by-content recovery does not fulfil clients' needs in finding the desired recordings viably, content-based video recovery stands out as the most sensible answer to enhance the recovery quality. Moreover, video recovery utilising inquiry by picture is not effective in partnership with the recordings to the client's advantage. In this manuscript, we intend a creative strategy to accomplish the high calibre substance-based video recovery by finding the transient examples. On premise of the found lobbyist designs, a productive indexing procedure and a powerful grouping coordinating strategy are incorporated to diminish the calculation cost and to raise the recovery precision. Trial result uncover that our methodology is extremely encouraging in upgrading content-based video recovery with regard to proficiency and adequacy in NPTEL.
      Keywords: text-based video retrieval; activist pattern; string matching; pattern-based search; fast-pattern-index tree; NPTEL
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 75 - 94
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088427
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Semantic web service discovery for mobile web services
    • Authors: A. Bhuvaneswari, G.R. Karpagam
      Pages: 95 - 107
      Abstract: The process of service discovery is the most important task in web services. But this service discovery process may degrade network performance due to the mobile environment. To overcome these issues, a new approach called 'semantic mobile web services (SMWS)' is proposed. This proposed semantic mobile web services is used for a better discovery process even in the high mobile environment. By using the query request (QRY REQ), response (RSP) packets, user can identify the location of the mobile node as well as discover the web services with the minimum utilisation of bandwidth resources. During the service discovery process, a service registrar is included between service requester and service provider to reduce overhead. The process of matchmaking produces the exact match responses for the respective requestor queries. This helps to increase the quality of performance and network efficiency. Simulation has analysed the performance of the proposed semantic mobile web services.
      Keywords: semantic mobile web services; SMWS; service discovery; matchmaking; web service layered architecture; web service description language; WSDL
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 95 - 107
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088421
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Developed global biotic cross pollination algorithm for CIS
    • Authors: K. Sasi Kala Rani, D. Rasi, S.N. Deepa
      Pages: 108 - 128
      Abstract: This paper focuses on the visual-based colour image segmentation with a global biotic cross pollination algorithm (GBCPA). The global biotic cross pollination algorithm segments the structurally challenging objects based on the colour, edge, entropy and edge information in the CIE L*a*b* colour space. The L*a*b* colour space is a colour-opponent space considered to approximate human vision. L* denotes the luminosity or brightness layer, chromaticity layer a* indicates colour falls along red-green axis and chromaticity layer b* indicates the blue-yellow axis. The FPO algorithm considering the global biotic cross pollination is proposed to improve the quality of the solution and computational speed. GBCPA is first introduced to find the locality of the solution. The performance of GBCPA is tested on a standard Berkeley segmentation dataset with 300 images. The dataset is illustrated under different evaluating strategies.
      Keywords: colour image segmentation; CIS; global biotic cross pollination algorithm; GBCPA; optimisation; flower pollination algorithm; Berkeley dataset
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 108 - 128
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088424
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Detecting and ranking events in Twitter using diversity analysis
    • Authors: K. Sasi Kala Rani, D. Rasi, S.N. Deepa
      Pages: 129 - 146
      Abstract: In Twitter and in other social media channels, detecting events is very important and has many applications. However, this task is very challenging because of the huge number of tweets that are posted every minute and the massive scale of the spamming activities. In this paper, we present an innovative approach for detecting events using data posted to Twitter. The proposed approach is based on the concept of user's attention by quantitatively modelling the diversity of hashtags using Shannon's index. Our method records the diversity values on an hourly basis time-series. Using statistical techniques, the method locates the intervals having diversity values that fall outside the range of forecasted ones (normal state). We also present the labelling and ranking techniques that are implemented in this research. Experimental results on a dataset consisting of 15 million Arabic tweets show that our proposed approach can effectively detect real-world events in Twitter.
      Keywords: social media; event detection; diversity index; Twitter; Arabic; hashtags; time-series analysis; z-score; events labelling; events ranking
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 129 - 146
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088423
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Data mining of unstructured big data in cloud computing
    • Authors: A.K. Reshmy, D. Paulraj
      Pages: 147 - 162
      Abstract: Hadoop Distributed File System, Talend, MapReduce (MR), YARN and Cloudera model have gotten to be prevalent advancements for expansive scale information association and investigation. In our work, we distinguish the prerequisites of the covered information association and propose an augmentation to the present programming model, called Comprehensive Hadoop Distributed File System along with MapReduce (C-HDFS-MR), to address them. The expanded interface is exhibited as application programming interface and actualised with regards to image processing application space. In our work, we show viability of C-HDFS-MR through contextual investigations of picture handling capacities along with the outcomes. Despite the fact that C-HDFS-MR has minimal overhead in information stockpiling and I/O operations, it enormously upgrades the framework execution and improves the application advancement process. Our proposed framework, C-HDFS-MR, works in the absence of progressions for the current prototypes, and is used by numerous applications to prerequisite of covered information.
      Keywords: big data; MapReduce; MR; Hadoop; Comprehensive Hadoop Distributed File System along with MapReduce; C-HDFS-MR; medical image processing; analysis; and visualisation; MIPAV
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 147 - 162
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088430
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Recognition of sign language using image processing
    • Authors: Sandhya Arora, Ananya Roy
      Pages: 163 - 176
      Abstract: According to World Health Organization, over 5% of the world's population have hearing and speaking disabilities. The primary language of communication for people who are deaf and mute is the sign language. The proposed system aims to recognise the American Sign Language and converts it to text. Input given to the system is an image of the hand depicting the necessary alphabet. The histogram of the input image is then computed and checked for similarity with the histograms of pre-saved images by using the Bhattacharyya Distance Metric. Implementation of the system will be a small step in overcoming the social barrier of communication between the deaf-mute people and the people who do not understand sign language. OpenCV is used as a tool for implementing proposed system.
      Keywords: American Sign Language; histogram; Bhattacharya Distance Metric; OpenCV
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 163 - 176
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088428
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • An empirical approach for complexity reduction and fault prediction for
           software quality attribute
    • Authors: Rajkumar, Viji, S. Duraisamy
      Pages: 177 - 187
      Abstract: Designing the high-quality software is a difficult one due to the high complexity and fault prone class. To reduce the complexity and predict the fault-prone class in the object orient software design proposed a new empirical approach. This proposed approach concentrates more on to increase the software quality in the object oriented programming structures. This technique will collect the dataset and metric values from CK-based metrics. And then complexity will be calculated based on the weighted approach. The fault prediction will be done, based on the low usage of the dataset and high complexity dataset. This helps to increase the software quality. In simulation section, the proposed approach has performed and analysed the parameters such as accuracy, fairness, recall, prediction rate and efficiency. The experimental results have shown that the proposed approach increases the prediction rate, accuracy and efficiency.
      Keywords: complexity reduction; fault prediction; software design; software quality; CK-based metrics
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 177 - 187
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088429
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Efficient hardware architecture for integer implementation of
           multi-alphabet arithmetic coding for data mining
    • Authors: S.D. Jayavathi, A. Shenbagavalli, B. Ganapathy Ram
      Pages: 188 - 208
      Abstract: The aim of this paper is to create an efficient hardware architecture for the multi-alphabet arithmetic coding (MA-AC) in semicustom and full custom application specific integrated circuit (ASIC). Generally, hardware realisation of MA-AC involves numerical processing and entropy coding, which employ the floating point (FP) arithmetic which is replaced by integer implementation in such a way that the symbol counts are used instead of probabilities. Novel hardware architecture is designed by modifying the update equations for upper and lower limits of multi-alphabet arithmetic encoder and decoder based on the update equation of the FP implementation. The proposed hardware architectures are synthesised in Xilinx and Altera Field Programmable Gate Array (FPGA) devices to evaluate resource utilisation and speed. Also, the physical design is encountered as ASIC device using Cadence Design environment tsmc 0.18 µm technology which shows area reduction of 12.75% and 23.61% and power consumption of 29.86% and 38.89% for encoder and decoder, respectively.
      Keywords: multi-alphabet arithmetic coder; encoder; decoder; state diagram; field programmable gate array; FPGA; application specific integrated circuit; ASIC
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 188 - 208
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088432
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • A Tabu Search strategy to solve cell formation problem with ratio level
           data
    • Authors: R. Kamalakannan, R. Sudhakara Pandian
      Pages: 209 - 220
      Abstract: This paper concentrates on the cell formation problem for the ratio level data to the design of cellular manufacturing system. The aim of this paper is to identify the machine cells and part family and as a result to create production cells in order to reduce the cell load variation. A competent Tabu Search (TS) algorithm is proposed to investigate the search space of all possible solutions with a chain of moves. This method is an iterative process for seeking a global optimum for the discrete combinatorial optimisation problems. The ratio level data is calculated in terms of time in seconds based on the data collected from the processing time of the part, production volume of the part and availability of the machine. A modified grouping efficiency (MGE) is used to compute the cell formation problem. The results clearly indicated that this proposed TS yield good results compared to the chosen benchmark problems.
      Keywords: Tabu Search algorithm; cell formation problem; ratio level data; modified grouping efficiency; MGE
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 209 - 220
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088431
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Frequent pattern sub-space clustering optimisation algorithm for data
           mining from large database
    • Authors: T. Sheik Yousuf, M. Indra Devi
      Pages: 221 - 246
      Abstract: Data mining environment gives a quick response to the user by fast and correctly pick-out the item from the large database is a very challenging task. Previously, multiple algorithms were proposed to identify the frequent item since they are scanning database at multiple times. To overcome those problems, we proposed Rehashing based Apriori Technique in which hashing technology is used to store the data in horizontal and vertical formats. Rehash Based Apriori uses hashing function to reduce the size of candidate item set and scanning of database, eliminate non-frequent items and avoid hash collision. After finding frequent item sets, perform level wise subspace clustering. We instigate generalised self organised tree based (GSTB) mechanism to adaptively selecting root to construct the path from the cluster head to neighbours when constructing the tree. Our experimental results show that our proposed mechanisms reduce the computational time of overall process.
      Keywords: sub-space clustering; generalised self-organised tree-based cluster head selection; GSTB
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 221 - 246
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088433
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Epsilon-fuzzy dominance sort-based composite discrete artificial bee
           colony optimisation for multi-objective cloud task scheduling problem
    • Authors: B. Gomathi, Karthikeyan Krishnasamy, B. Saravana Balaji
      Pages: 247 - 266
      Abstract: Cloud computing environment provides on-demand virtualised resources for cloud application. The scheduling of tasks in cloud application is a well-known NP-hard problem. The task scheduling problem is more complicated while satisfying multiple objectives, which are conflict in nature. In this paper, Epsilon-fuzzy dominance based composite discrete artificial bee colony (EDCABC) approach is used to generate Pareto optimal solutions for multi-objective task scheduling problem in cloud. Three conflicting objectives, such as makespan, execution cost and resource utilisation, are considered for task scheduling problem. The Epsilon-fuzzy dominance sort approach is used to choose the best solutions from the Pareto optimal solution set in the multi-objective domain. EDCABC with composite mutation strategies and fast local search method are used to enrich the local searching behaviours which help to avoid the premature convergence. The performance and efficiency of the proposed algorithm is compared with NSGA-II and MOPSO algorithms. The simulation results express that proposed EDCABC algorithm substantially minimises the makespan, execution cost and ensures the proper resource utilisation when compare to specified existing algorithm.
      Keywords: task scheduling; discrete artificial bee colony; cloud computing; makespan; execution cost; fuzzy dominance; load balancing
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 247 - 266
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088435
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Proposal and examination of the FLAP algorithm
    • Authors: Daniel Giterman, Eyal Brill
      Pages: 267 - 290
      Abstract: In real classification problems, common learning algorithms generally fail to describe instances that require complicated classification logic. Additionally, it is often difficult to ensure a satisfying amount of classified data for their training. In this work, we propose and examine a new learning algorithm that also integrates expert logic. Essentially, this algorithm takes advantage of unclassified data to produce a self-generated fuzzy inference system that is eventually used as a classifier. It also utilises a mere sample of classified data in order to compare various classifiers constructed from different algorithm options, thus finally achieving an assumingly more accurate result. As part of our study, this algorithm was compared with six well-known supervised learning algorithms such as artificial neural networks, support vector machine and random forest. We used the ten-fold cross-validation technique with Kappa statistic to assess algorithm performance. Subsequently, in order to find statistically significant dissimilarities among the algorithms, we used a two-tailed Friedman test. After the null hypothesis was rejected, we used a Nemenyi post-hoc test to prove differences between pairs of algorithms. Consequently, despite lacking in efficiency and scalability, our algorithm proved to be highly competitive and demonstrated excellent classification potential.
      Keywords: fuzzy logic; fuzzy inference systems; learning algorithms; hybrid algorithms; algorithms comparison
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 267 - 290
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088436
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • An improved incremental algorithm for mining weighted
           class-association rules
    • Authors: B. Subbulakshmi, C. Deisy
      Pages: 291 - 308
      Abstract: Constructing fast and accurate classifiers for large data sets is an important task in data mining. Associative classification can produce more efficient and accurate classifiers than traditional classification techniques. Weighted class association rule (WCAR) mining reflects significance of items by considering their weight. Moreover, real time databases are dynamic. This influences the need for incremental approach for classification. Existing incremental classification algorithms suffer from issues like longer execution time and higher memory usage. This paper proposes an algorithm which uses hash structure to store weighted frequent items and the concept of difference of object identifiers to compute the support faster. For mining incremental databases, pre-large concept is used to reduce the number of re-scans over the original database. The proposed algorithm was implemented and tested on experimental data sets taken from UCI repository. The results show that proposed algorithm for mining WCARs gives better results compared to existing algorithm.
      Keywords: class association rules; CARs; weighted frequent itemsets; WFI; incremental mining; hash structure; weighted class association rules; associative classifier
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 291 - 308
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088437
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Understanding urban development types and drivers in Wallonia: a
           multi-density approach
    • Authors: Ahmed Mustafa, Ismaïl Saadi, Mario Cools, Jacques Teller
      Pages: 309 - 330
      Abstract: In this study, urban development process in the Walloon region (Belgium) has been analysed. Two main aspects of development are quantitatively measured: the development type and the definition of the main drivers of the urbanisation process. Unlike most existing studies that consider the urban development as a binary process, this research considers the urban development as a continuous process, characterised by different levels of urban density. Eight urban classes are defined based on the Belgian cadastral data for years 2000 and 2010. A multinomial logistic regression model is employed to examine the main driving forces of the different densities. Sixteen drivers were selected, including accessibility, geo-physical features, policies and socio-economic factors. Finally, the changes from the non-urban to one of the urban density classes are detected and classified into different development types. The results indicate that zoning status (political factor), slope, distance to roads, population densities and mean land price, respectively, have impact on the urbanisation process whatever maybe the density. The results also show that the impact of these factors highly varies from one density to another.
      Keywords: urban development; urban density; development type; driving forces; multinomial logistic regression model; cadastral data
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 309 - 330
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088434
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Multiple object tracking by employing shaped-based features and Kalman
           filter
    • Authors: Felix M. Philip, Rajeswari Mukesh
      Pages: 331 - 346
      Abstract: There has been fast development happening in the multimedia and the related technologies, particularly associated with visual tracking and search operations. Moving target detection has been comprehensively engaged in various arenas but has the disadvantage that the scheme is frequently complex and also that tracking is affected numerous external factors. In this article, multiple objects recognition and tracking is projected so as to progress the method and make it more robust and general with assistance of shape-based features and Kalman filter. Primarily, the input video is rehabilitated to frames and then manually segmented for object segmentation. Consequently, the objects are tracked with the help of Kalman filtering. The method is assessed under standard evaluation metrics of error value and the score value. The technique achieved maximum score values of 95% and minimum error value of 25%. The results validate the effectiveness of the technique.
      Keywords: moving object detection; tracking; shape-based features; Kalman filtering and segmentation
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 331 - 346
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088438
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
  • Technology in its context - a literature review of the macro and micro
           levels of business intelligence
    • Authors: Felix M. Philip, Rajeswari Mukesh
      Pages: 347 - 368
      Abstract: The purpose of the literature review is to identify characteristics, concepts, and theories of business intelligence (BI). The status quo of BI is based on the literature review, which covers 86 journal articles from the three areas of accounting, strategy, and information systems between 2006 and 2014. The review combines two established frameworks to illustrate new insights regarding the macro and micro levels of BI. The complementary combination of both levels produces a new lens that shows the conceptualisation and characteristics of BI in a holistic view. The result of the study shows that BI is used as a monolithic concept and static tool with technical control mechanisms. Another result implies that BI is in a phase of maturity, in which it fulfils an organisational purpose without considering its social context or ecosystem in which it occurs. The literature review contributes to the characterisation and theorisation of BI and shows that a company depend on both characteristics and the purpose for which BI is used.
      Keywords: accounting; business intelligence; conceptualisation; information systems; literature review; macro level; measurement system; micro level; strategy; technology
      Citation: International Journal of Business Intelligence and Data Mining, Vol. 13, No. 1/2/3 (2018) pp. 347 - 368
      PubDate: 2017-12-07T23:20:50-05:00
      DOI: 10.1504/IJBIDM.2018.088439
      Issue No: Vol. 13, No. 1/2/3 (2017)
       
 
 
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