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Publisher: Inderscience Publishers   (Total: 427 journals)

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Showing 1 - 200 of 427 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 12)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 12)
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: 20)
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: 16, 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: 8, 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: 13)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 13, SJR: 0.143, h-index: 9)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 9, 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: 1)
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: 23, SJR: 0.103, h-index: 9)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 7, SJR: 0.24, h-index: 4)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 20)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 5)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 8, 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: 6, SJR: 0.103, h-index: 9)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 12, SJR: 0.401, h-index: 9)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 4, SJR: 0.455, h-index: 11)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 5, 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: 3)
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: 8)
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: 9, SJR: 0.297, h-index: 7)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 2)
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: 4, SJR: 0.125, h-index: 10)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 4)
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: 1)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 15)
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: 15, 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: 3)
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: 6)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 15)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 3)
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: 17, SJR: 0.264, h-index: 18)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 9, SJR: 0.273, h-index: 13)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 31, 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: 15)
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: 13, SJR: 0.172, h-index: 15)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 5)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 27)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 2)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 4)
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 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: 27)
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: 5)
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: 2, 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: 3, 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: 2, 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: 3, SJR: 0.277, h-index: 18)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 5, SJR: 0.381, h-index: 10)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 17, SJR: 0.289, h-index: 13)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 14, 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: 8)
Intl. J. of Decision Support Systems     Hybrid Journal  
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 14)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 7)
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: 4, 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: 5, SJR: 0.102, h-index: 1)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 4, 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   (Followers: 1, SJR: 0.383, h-index: 9)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 3, 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: 10, 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: 12, 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: 10, 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: 26, SJR: 0.238, h-index: 15)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 24, SJR: 0.294, h-index: 16)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 9, SJR: 0.147, h-index: 10)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 7, SJR: 0.241, h-index: 35)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 17, SJR: 0.142, h-index: 14)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 7, SJR: 0.142, h-index: 11)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 4)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 6)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 8)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.13, h-index: 15)
Intl. J. of Exergy     Hybrid Journal   (Followers: 3, 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  
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 2)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 16)
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: 6, SJR: 0.219, h-index: 14)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 5, 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: 3, SJR: 0.149, h-index: 15)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 1, 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 Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 4, 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: 6)
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 8, SJR: 0.155, h-index: 13)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 6, 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: 4)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 4)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 17)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 16)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 24, SJR: 0.148, h-index: 11)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 12)
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.181, h-index: 3)
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   (Followers: 1)
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 9, 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: 9, SJR: 0.144, h-index: 5)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 19, SJR: 0.134, h-index: 8)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 18, SJR: 0.323, h-index: 10)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 9)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 30)
Intl. J. of Information Quality     Hybrid Journal   (Followers: 5, SJR: 0.103, h-index: 8)
Intl. J. of Information Systems and Change Management     Hybrid Journal   (Followers: 9, SJR: 0.112, h-index: 8)
Intl. J. of Information Systems and Management     Hybrid Journal   (Followers: 3)
Intl. J. of Information Technology and Management     Hybrid Journal   (Followers: 15, SJR: 0.128, h-index: 11)
Intl. J. of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 20)

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Journal Cover International Journal of Computational Science and Engineering
  [SJR: 0.34]   [H-I: 12]   [2 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1742-7185 - ISSN (Online) 1742-7193
   Published by Inderscience Publishers Homepage  [427 journals]
  • Time constraint influence maximization algorithm in the age of big data
    • Authors: Meng Han, Zhuojun Duan, Chunyu Ai, Forrest Wong Lybarger, Yingshu Li, Anu G. Bourgeois
      Pages: 165 - 175
      Abstract: The new generation of social networks contains billions of nodes and edges. Managing and mining this data is a new academic and industrial challenge. Influence maximization is the problem of finding a set of nodes in a social network that result in the highest amount of influence diffusion. Many research works have been developed, which focus exclusively on the efficiency of algorithms, but overlook some features of social network data such as time sensitivity and the practicality in a large scale. Furthermore, the new era of 'big data' is changing dramatically right before our eyes - the increase of big data growth gives all researchers many challenges as well as opportunities. This paper proposes two new models TIC and TLT and considers the time constraint during the influence spreading process in practice. Empirical studies on different synthetic and real large scale social networks demonstrate that our models together with solutions on both Hadoop and Spark platforms are more practical as well as providing a regulatory mechanism for enhancing influence maximization. Not only that but also outperforming most existing alternative algorithms.
      Keywords: influence maximization; cloud computing; data mining; data modelling
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 165 - 175
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087401
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Analysing user retweeting behaviour on microblogs: prediction model
           and influencing features
    • Authors: Chenglong Lin, Yanyan Li, Ting-Wen Chang, Kinshuk
      Pages: 176 - 187
      Abstract: This paper explores the feasibility of predicting users' retweeting behaviour and ranks the influencing features affecting that behaviour. The four first-dimension features, namely author, text, recipient and relationship are extracted and split into 39 second-dimension features. This study then applies support vector machine (SVM) to build the prediction model. Data samples extracted from Sina Microblog platform are subsequently used to evaluate this prediction model and rank the 39 second-dimension features. The results show the recall rate of this model is 58.67%, the precision rate is 82.19%, and the F1 test value is 68.46%, which show that the performance of the prediction model is highly satisfactory. Moreover, results of ranking indicate four features affect retweeting behaviour of users: the active degree of microblog author, the similarity of interests between the author and the recipient, the active degree of microblog recipient and the similarity between the theme of microblog and the recipient's interest.
      Keywords: microblog; retweeting behaviour; prediction model; influence ranking; support vector machine; SVM; information gain
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 176 - 187
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087405
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Multi-criteria decisional approach for extracting relevant association
           rules
    • Authors: Addi Ait-Mlouk, Fatima Gharnati, Tarik Agouti
      Pages: 188 - 200
      Abstract: Association rule mining plays a vital role in knowledge discovery in databases. The difficult task is mining useful and non-redundant rules, in fact in most cases, the real datasets lead to a huge number of rules, which does not allow users to make their own selection of the most relevant. Several techniques are proposed such as rule clustering, informative cover method, quality measurements, etc. Another way to selecting relevant association rules, we believe it is necessary to integrate a decisional approach within the knowledge discovery process; to solve the problem, we propose an approach to discover a category of relevant association rules based on multi-criteria analysis (MCA) by using association rules as actions and quality measurements as criteria. Finally, we conclude our work by an empirical study to illustrate the performance of our proposed approach.
      Keywords: data mining; knowledge discovery in database; association rules; quality measurements; multi-criteria analysis; MCA; decision-making system; ELECTRE TRI
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 188 - 200
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087402
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Efficient attribute selection strategies for association rule mining in
           high dimensional data
    • Authors: Sandhya Harikumar, Divya Usha Dilipkumar, M. Ramachandran Kaimal
      Pages: 201 - 213
      Abstract: This paper presents a new computational approach to discover interesting relations between variables, called association rules, in large and high dimensional datasets. State-of-the-art techniques are computationally expensive due to reasons like high dimensions, generation of huge number of candidate sets and multiple database scans. In general, most of the enormous discovered patterns are obvious, redundant or uninteresting to the user. So the context of this paper is to improve apriori algorithm to find association rules pertaining to only important attributes from high dimensional data. We employ an information theoretic method together with the concept of QR decomposition to represent the data in its proper substructure form without losing its semantics, by identifying significant attributes. Experiment on real datasets and comparison with the existing technique reveals that the proposed strategy is computationally always faster and statistically always comparable with the apriori algorithms in terms of rules generated and time complexity.
      Keywords: association rule mining; apriori; entropy; QR decomposition
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 201 - 213
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087416
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • A robust video watermarking scheme using sparse principal component
           analysis and wavelet transform
    • Authors: Thirunarayanan Shankar, Govindarajan Yamuna
      Pages: 214 - 225
      Abstract: The extension of internet facility profoundly eases the dissemination of all digital data such as audio, images and videos to the general public. This paper proposes a blind scheme for digital video watermarking. In this paper, a discrete wavelet domain watermarking is adopted for hiding a large amount of data with high security, good invisibility and no loss to the secret message. At first, dual tree complex wavelet transform (DTCWT) is applied on each frame decomposing it into a number of sub-bands. Then, holo entropy of each sub-band is calculated and the maximum entropy blocks are selected. The selected blocks are transformed using sparse principal component analysis (SPCA). The maximum coefficient of the SPCA blocks of each sub-band is quantised using quantisation index modulation (QIM). The proposed video watermarking scheme is analysed through various constraints such as the normalised correlation (NC) and the peak signal to noise ratio (PSNR).
      Keywords: watermarking; quantisation; sparse principal component analysis; SPCA; holo entropy; dual tree complex wavelet transform; DTCWT
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 214 - 225
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087409
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Optimisation for video watermarking using ABC algorithm
    • Authors: Sundararajan Madhavan, Govindarajan Yamuna
      Pages: 226 - 235
      Abstract: Video watermarking is relatively an innovative tool that has been proposed to solve the problem of illegal manipulation and sharing of digital video. It is the process of embedding copyright information into video watermarking. In this paper, artificial bee colony algorithm is utilised for finding the frame and location for embedding the grey-scale image into video watermarking and then searches a scene and location into which a particular part of watermarking is best to embed. The number of shot frames and locations is identified using ABC algorithm. Once the best frame and locations are identified, the embedding and extraction procedure is carried out. The performance of the proposed algorithm is analysed with the existing technique using PSNR and NC. This technique is tested against different attacks and the results obtained are encouraging.
      Keywords: digital video watermarking; discrete wavelet transform; artificial bee colony; ABC; peak signal to noise ratio; normalised correlation
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 226 - 235
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087410
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • DWT-based grey-scale image watermarking using area of best fit equation
           and cuckoo search algorithm
    • Authors: Sundararajan Madhavan, Govindarajan Yamuna
      Pages: 236 - 247
      Abstract: This manuscript explains the salient features of a recently presented nature inspired algorithm for the improvement of digital image watermarking used in copyright protection. In the embedding process, the grey image is divided into four sub-bands using DWT, and the desired sub-bands are selected. In the selected two sub-bands (LH, HL), a mathematical equation of area of best fit is applied. The cuckoo search algorithm in focus is used to entirely recognise optimal positions in the discrete wavelet transform (DWT) domain for watermark enclosure in the binary image. The results display the supremacy of using this algorithm for the watermarking techniques focused for copyright protection; besides the lowest effect to the PSNR values the optimum positions are obtained even for the watermark included images.
      Keywords: cuckoo search algorithm; area of the best fit equation; grey-scale image watermarking; discrete wavelet transform; DWT
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 236 - 247
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087411
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Term extraction and correlation analysis based on massive scientific and
           technical literature
    • Authors: Wen Zeng, Hongjiao Xu, Junsheng Zhang
      Pages: 248 - 255
      Abstract: Scientific and technical term is the basic unit of knowledge discovery and organisation construction. Correlation analysis is one of the important technologies for the deep data mining of massive, different scientific and technical literature. Based on the freely available digital library resources, this study adopts the technology of natural language processing to analyse the linguistics characteristics of terms, and combines with statistical analyses to extract the terms from scientific and technical literature. Using the results of term extraction, the paper proposes the algorithm of improved VSM towards correlation calculation for analysing different scientific and technical literature. According to the experimental results, it proposes a new way and possibility to automatically extract terms and realise correlation analysis for different literature from massive scientific and technical literature. Our method is superior to the method of unadopting linguistic rules and MI calculation. The accuracy of terms is about 73.5%. Compared with the traditional VSM based on terms, the correct rate of correlation calculation is increased by 12%.
      Keywords: term extraction; correlation analysis; scientific and technical literature; knowledge discovery and organisation; big data
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 248 - 255
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087412
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Towards patent text analysis based on semantic role labelling
    • Authors: Yanqing He, Ying Li, Ling'en Meng, Hongjiao Xu
      Pages: 256 - 266
      Abstract: Mining patent texts can obtain valuable technical information and competitive intelligence which is important for the development of technology and business. The current patent text mining approaches suffer from lack of effective, automatic, accurate and wide-coverage techniques that can annotate natural language texts with semantic argument structure. It is helpful for text mining to derive more meaningful semantic relationship from semantic role labelling (SRL) results of patents. This paper uses <i>Word2Vec</i> to learn word real-valued vector and design features related to word vector to train SRL parser. Based on the SRL parser, two patent text mining methods are then given: patent topic extraction and automatic construction of patent technical effect matrix (PTEM). Experiments show that semantic role labelling help achieve satisfactory results and saves manpower.
      Keywords: patent technical effect matrix; PTEM; semantic role labelling; SRL; International Patent Classification; IPC; patent analysis; word vector; patent topic extraction; semantic analysis; text mining
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 256 - 266
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087415
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • System architecture of coastal remote sensing data mining and services
           based on cloud computing
    • Authors: Xuerong Li, Xiujuan Wang, Lingling Wu
      Pages: 267 - 276
      Abstract: Coastal remote sensing images have huge data which has features of the volume, variety, complexity and specialisation. The problem is how to effectively carry out data integration, fast extract and data mining of knowledge and information from these massive remote sensing data as it is far behind the requirements of coastal professional applications. In this paper, based on data mining, remote sensing theory, space information and cloud computing technology towards the goal of coastal zone remote sensing data integration and data mining service system, the meta-data model, data storage model, data mining framework, web service framework model, etc. are provided and designed. Finally, a prototype system of remote sensing data mining services in the cloud computing environment is designed and developed using system integration, and is demonstrated and verified by professional applications. It is valuable to serve the development of the coastal zone, monitoring, planning and integrated management and other fields.
      Keywords: remote sensing image; data mining; system architecture; cloud computing; coastal zone
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 267 - 276
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087406
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Collating multisource geospatial data for vegetation detection using
           Bayesian network - a case study of Yellow River Delta
    • Authors: Dingyuan Mo, Liangju Yu, Meng Gao
      Pages: 277 - 284
      Abstract: Multisource geospatial data contains a lot of information that can be used for environment assessment and management. In this paper, four environmental indicators representing typical human activities in Yellow River Delta, China are extracted from multisource geospatial data. By analysing the causal relationship between these human-related indicators and NDVI, a Bayesian network (BN) model is developed. Part of the raster data pre-processed using GIS is used for training the BN model, and the other data is used for model testing. Sensitivity analysis and performance assessment showed that the BN model was good enough to reveal the impacts of human activities on land vegetation. With the trained BN model, the vegetation change under three different scenarios was also predicted. The results showed that multisource geospatial data could be successfully collated using the GIS-BN framework for vegetation detection.
      Keywords: GIS; normalised difference vegetation index; NDVI; human activity; oil exploitation; urbanisation; road construction; Bayesian network
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 277 - 284
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087407
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • A comparative study on disease risk model in exploratory spatial analysis
    • Authors: Zhisheng Zhao, Yang Liu, Jing Li, Junhua Liang, Jiawei Wang
      Pages: 285 - 294
      Abstract: The present work mainly focuses on the issue of risk model in spatial data analysis. Through the analysis of morbidity data of influenza A (H1N1) across China's administrative regions from 2009 to 2012, a comparative study was carried out among Poisson model, Poisson-Gamma model, log-normal model, EB estimator of moment and Bayesian hierarchical model. By using R programming language, the feasibility of the above analysis methods was verified and the variability of the estimated values generated by each model was calculated, the Bayesian model for spatial disease analysis was improved, and estimator considering uncorrelated spatial model, correlated spatial model and covariate factors was proved to be the best by comparing DIC values of the models. By using the Markov chain for simulative iteration, iterative convergence was illustrated by graphs of iteration track, autocorrelation function, kernel density and quantile estimation. The research on spatial variability of disease morbidity is helpful in detecting epidemic areas and forewarning the pathophoresis of prospective epidemic disease.
      Keywords: spatial disease analysis; Bayesian hierarchical model; Poisson-Gamma model; EB estimator of moment; R
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 285 - 294
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087408
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Hybrid fuzzy collaborative filtering: an integration of item-based and
           user-based clustering techniques
    • Authors: Pratibha Yadav, Shweta Tyagi
      Pages: 295 - 310
      Abstract: Clustering is one of the successful approaches of the model-based collaborative filtering techniques that deals with the problem of sparsity and provides quality recommendations. In the proposed work, fuzzy c-means clustering technique is adopted in order to produce item-based clusters as well as user-based clusters. Subsequently, collaborative filtering technique explores the item-based and user-based clusters and generates the list of item-based and user-based predictions, respectively. Further, to enhance the quality of recommendations, a novel weighted hybrid scheme is designed which integrates the user-based and item-based predictions to capture the influence of each active user towards item-based and user-based predictions. The proposed schemes are further categorised on the basis of re-clustering and without re-clustering under different similarity measures over sparse and dense datasets. The experimental results reveal that the variants of the proposed hybrid schemes consistently generate better results in comparison with the corresponding variants of proposed user-based schemes and the traditional item-based schemes.
      Keywords: recommender system; collaborative filtering; fuzzy c-means clustering; FCC; sparsity
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 295 - 310
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087413
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • High quality multi-core multi-level algorithm for community
           detection
    • Authors: Suely Oliveira, Rahil Sharma
      Pages: 311 - 321
      Abstract: One of the most relevant and widely studied structural properties of networks is their community structure or clustering. Detecting communities is of great importance in various disciplines where systems are often represented as graphs. Different community detection algorithms have been introduced in the past few years, which look at the problem from different perspectives. Most of these algorithms, however, have expensive computational time that makes them impractical to use for large graphs found in the real world. Maintaining a good balance between the computational time and the quality of the communities discovered is a well-known open problem in this area. In this paper, we propose a <i>multi-core multi-level</i> (MCML) community detection algorithm based on the topology of the graph, which contributes towards solving the above problem. MCML algorithm on two benchmark datasets results in detection of accurate communities. We detect high modularity communities by applying MCML on <i>Facebook Forum</i> dataset to find users with similar interests and <i>Amazon product</i> dataset. We also show the scalability of MCML on these large datasets with 16 Xeon Phi cores.
      Keywords: parallel algorithm; multi-level; multi-core; community detection
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 311 - 321
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087399
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • The improved indoor localisation algorithm based on wireless sensor
           network
    • Authors: Zengwei Zheng, Jin Lv, Chen Li, Lin Sun, Jianzhong Wu, Jianping Cai, Min-Yi Guo
      Pages: 322 - 329
      Abstract: Many sensor network applications require location awareness. In this paper, an improved positioning algorithm based on fingerprinting is presented in indoor environment. The improved algorithm compared to the traditional fingerprint recognition algorithm does not require offline fingerprint collection. The improved algorithm is robust in complex indoor environment and it can effectively deal with the situation of the failure of the beacon node. And when there are new nodes added to the wireless sensor network, the algorithm will make use of the new nodes by generating new fingerprints to ensure the positioning performance of the algorithm.
      Keywords: wireless sensor network; indoor localisation; distributed database
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 322 - 329
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087400
      Issue No: Vol. 15, No. 3/4 (2017)
       
  • Tracking multiple targets based on min-cost network flows with
           detection in RGB-D data
    • Authors: Mingxin Jiang, Zhenzhou Tang, Liming Chen
      Pages: 330 - 339
      Abstract: Visual multi-target tracking technology is a challenging problem in computer vision. This study proposes a novel approach for multi-target tracking based on min-cost network flows in RGB-D data with tracking-by-detection scheme. Firstly, the moving objects are detected by fusing RGB information and depth information. Then, we formulate the multi-target tracking problem as a maximum a posteriori (MAP) estimation problem with specific constraints, and the problem is converted into a cost-flow network. Finally, using a min-cost flow algorithm, we can obtain the tracking results. Extensive experimental results show that the proposed algorithm greatly improves the robustness and accuracy and outperforms the state-of-the-art significantly.
      Keywords: combined multi-target detection; min-cost network flows; maximum a posteriori; MAP; RGB-D sensor
      Citation: International Journal of Computational Science and Engineering, Vol. 15, No. 3/4 (2017) pp. 330 - 339
      PubDate: 2017-10-15T23:20:50-05:00
      DOI: 10.1504/IJCSE.2017.087414
      Issue No: Vol. 15, No. 3/4 (2017)
       
 
 
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