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E-FORENSICS 2008
WKDD 2008
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    WKDD

    1st International ICST Workshop on Knowledge Discovery and Data Mining

    Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. Knowledge discovery a…

    Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. Knowledge discovery and data mining can be extremely beneficial for the field of Artificial Intelligence in many areas, such as industry, commerce, government, education and so on.

    In view of this, a workshop on knowledge Discovery and Data Mining aims to provide an opportunity for the sharing of original research results, innovative ideas, state-of-the-art developments, and implementation experiences in knowledge discovery and data mining among researchers in academic and industrial organizations.

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    Editor(s): Qi LuoWuhan (Institute of Technology, China), Mingmin Gong, Feng Xiong and Fei Yu
    Publisher
    ACM
    ISBN
    0-7695-3090-7
    Conference dates
    23rd–24th Jan 2008
    Location
    Adelaide, Australia
    Appeared in EUDL
    2011-11-29

    Copyright © 2011–2025 ICST

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    • Research and Application on Typical Process Knowledge Discovery in Mechanical Manufacturing Enterprise

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Xiaoliang Jia, Zhenming Zhang, Xitian Tian
    • Cooperation Forensic Computing Research

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Youdong ZHANG
    • Knowledge Management in the Ubiquitous Software Development

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      José Miguel Rubio L.
    • Application of tetrahedral mesh model based on neural network in solid mineral reserve estimation

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Junfang Gong, Xincai Wu, Xiuguo Liu, Shengwen Li
    • A new method: multi-factor trend regression and its application to economy forecast in Jiangxi

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Ding Yuechao
    • Process Knowledge Verification Method Based on Petri Net

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Wang Daliang, Zhang De-zheng, Gao Li-xin, Liu Jian-ming, Zhang Huansheng
    • Improvement of the Drought Monitoring Model Based on the Cloud Parameters Method and Remote Sensing Data

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Liangming Liu, Daxiang Xiang, Xinyi Dong, Zheng Zhou
    • A PSO-based Clustering Algorithm for Manufacturing Cell Design

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Orlando Durán, Nibaldo Rodriguez, Luiz Airton Consalter
    • Effective Pruning Strategies for Sequential Pattern Mining

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Xu Yusheng, Ma Zhixin, Li Lian, Tharam S. Dillon
    • A New Cloud Detection Algorithm for FY-2C Images Over China

      Research Article in 1st International ICST Workshop on Knowledge Discovery and Data Mining

      Deren Li, Xinyi Dong, Liangming Liu, Daxiang Xiang
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