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IJDTA Vol. 6, No. 5, 2013

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2013
2013
Volume 6, Number 5, 2013 October
    • A Computer Forensics Approach Based on Autonomous Intelligent Multi-Agent System, Afshin Jahanbin, Ahmad Ghafarian, Seyed Amin Hosseeini Seno and Samane Nikookar (pp. 1-12).
    • Evaluation of the Selection of the Initial Seeds for K-Means Algorithm, ShinWon Lee and WonHee Lee (pp. 13-22).
    • Analysis of KDD CUP 99 Dataset using Clustering based Data Mining, Mohammad Khubeb Siddiqui and Shams Naahid (pp. 23-34).
    • Code Generation for Mobile Terminals Remote Accessing to the Database Based on Object Relational Mapping, Wen Hu and Yan li Zhao (pp. 35-44).
    • A Novel Approach of Calculating Information Entropy in Information Extraction, Rong Li and Hongbin Wang (pp. 45-52).
    • An Algorithm for Selecting Clustering Attribute using Significance of Attributes, W. A. Hassanein and Amr A. Elmelegy (pp. 53-66).
    • Object-oriented Knowledge Modelling for Conceptual Design of Mechanisms, Bin He, Zhongqiang Deng and Haifeng Lv (pp. 67-84).
    • Research on Vector Spatial Data Storage Schema Based on Hadoop Platform, Kun Zheng and Yanli Fu (pp. 85-94).
    • Clustering Algorithm for Incomplete Data Sets with Mixed Numeric and Categorical Attributes, Wu Sen, Chen Hong and Feng Xiaodong (pp. 95-104).
    • Self-service Product Innovation Based on Data Mining Technology, Xiaoren Zhang, Xiangdong Chen and Ling Ding (pp. 105-118).
    • Hadoop-based ARIMA Algorithm and its Application in Weather Forecast, Leixiao Li, Zhiqiang Ma, Limin Liu and Yuhong Fan (pp. 119-132).
    • Analysis and Research of Enterprise Technology Competent Advantage on Text Mining and Correspondence Analysis, Xingang Wang and Song Liu (pp. 133-140).
    • Research on Heterogeneous Data resource Management Model in Cloud Environment, Tao Sun and Xinjun Wang (pp. 141-152).
    • Electricity Consumption Prediction based on Data Mining Techniques with Particle Swarm Optimization, Zeguo Qiu (pp. 153-164).
    • Developing a hybrid method of Hidden Markov Models and C5.0 as a Intrusion Detection System, Mahsa Khosronejad, Elham Sharififar, Hasan Ahmadi Torshizi and Mehrdad Jalali (pp. 165-174).
    • Improved Pareto/NBD Model and Its Applications in Customer Segmentation based on Personal Information Combination, Yanhong Guo, Hui Wang and Wei Liu (pp. 175-186).
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