DocumentCode :
3167332
Title :
Advancing Knowledge Discovery and Data Mining
Author :
Luo, Qi
Author_Institution :
Wuhan Inst. of Technol., Wuhan
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
3
Lastpage :
5
Abstract :
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.
Keywords :
data mining; artificial intelligence; data mining; data visualization; high performance computing; knowledge acquisition; knowledge discovery; machine learning; Artificial intelligence; Data mining; Data visualization; High performance computing; Industrial relations; Knowledge acquisition; Machine learning; Mining industry; Statistics; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.153
Filename :
4470338
Link To Document :
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