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