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Advancing Knowledge Discovery and Data Mining

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1 Author(s)
Qi Luo ; Wuhan Inst. of Technol., Wuhan

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. The relation between Knowledge and Data Mining, and Knowledge Discovery in Database (KDD) process are presented in the paper. Data mining theory, Data mining tasks, Data Mining technology and Data Mining challenges are also proposed. This is an belief abstract for an invited talk at the workshop.

Published in:

Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on

Date of Conference:

23-24 Jan. 2008