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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 11–20 of 33 results
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    • 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
    • CBERS-02 remote sensing data mining using decision tree algorithm

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

      Xingping Wen, Guangdao Hu, Xiaofeng Yang
    • Centrality Research on the Traditional Chinese Medicine Network*

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

      Zhang Dezheng, Gao Lixin, Zhang Huansheng, Liu Jianming
    • Cloud Model-based Data Attributes Reduction for Clustering

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

      XU Ru-zhi, NIE Pei-yao, LIN Pei-guang, CHU Dong-sheng
    • Cooperation Forensic Computing Research

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

      Youdong ZHANG
    • Coupling Analysis of Regional Economic Structure System

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

      ZHANG Yi-xin
    • 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
    • Evaluating Organization External Knowledge Acquisition

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

      BAO Zhengqiang, GAO Kaizhou, LI Xiangqing, GUO Lei, ZHONG Hui
    • Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary

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

      Myunggwon Hwang, Jongan Park, Sunkyoung Baek, Pankoo Kim, Junho Choi
    • 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
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