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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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    Showing 21–30 of 33 results
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    • Knowledge Management in the Ubiquitous Software Development

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

      José Miguel Rubio L.
    • Mining High Utility Itemsets in Large High Dimensional Data

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

      Guangzhu Yu, Keqing Li, Shihuang Shao
    • Ontology-based Research on Wind Power Plant Information Interaction

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

      Yong-li Zhu, Xin-ying Wang, Dong-ling Cheng
    • 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
    • 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
    • Research of a virtual 3D study pattern based on constructive theory in e-learning

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

      Xinyu Duan, Ping Jiang
    • Solving Constrained Optimization via a Modified Genetic Particle Swarm Optimization

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

      Liu Zhiming, Wang Cheng, Li Jiang
    • Study on the Application of SVM in Supplier Primary Election

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

      Lili Cai, Fugeng Shong, Deling Yuan
    • Temporal and Spatial Analysis on Labor Productivity of Radio and TV Industry in China

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

      Dong Chun, ZHANG Hongmei, Wang Tao, Wang Yong, QIU Agen
    • The Data Mining Technology Based on CIMS and Its Application on Automotive Remanufacturing

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

      Ke Chen, Jia Wang
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