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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 1–10 of 33 results
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    • A Customer Satisfaction Degree Evaluation Model Based on Support Vector Machine

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

      Wang Ting, Hua Zhiwu
    • A Discussion Information-Structuring Model Based on the Toulmin Formalism

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

      Caiquan Xiong, Ying Pan, Dehua Li
    • 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
    • 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
    • A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis

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

      Zhongni Wang, Xianchuan Yu, Libao Zhang
    • 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
    • A novel Network Intrusion Detection System (NIDS) based on signatures search of data mining

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

      Hu Zhengbing, Li Zhitang, Wu Junqi
    • An Empirical Research of Multi-Classifier Fusion Methods and Diversity Measure in Remote Sensing Classification

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

      Hongchao Ma, Wei Zhou, Xinyi Dong, Honggen Xu
    • An Empirical Study on Improving the Manufacturing Informatization Index System of China

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

      Wei Guo, Ke Chen, Jia Wang
    • An Enhanced ART2 Neural Network for Clustering Analysis

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

      Jianhong Luo, Dezhao Chen
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