DocumentCode
1558450
Title
Data mining
Author
Fu, Yongjian
Author_Institution
Dept. of Comput. Sci., Missouri Univ., Rolla, MO, USA
Volume
16
Issue
4
fYear
1997
Firstpage
18
Lastpage
20
Abstract
Mountainous amounts of data records are now available in science, business, industry and many other areas. Such data can provide a rich resource for knowledge discovery and decision support. Data mining is the process of identifying interesting patterns from large databases. Data mining is the core part of the knowledge discovery in database (KDD) process. The KDD process may consist of the following steps: data selection, data cleaning, data transformation, pattern searching (data mining), finding presentation, finding interpretation and finding evaluation. The paper discusses some tasks, techniques and applications of data mining
Keywords
data handling; deductive databases; knowledge acquisition; very large databases; business; data cleaning; data records; data selection; data transformation; decision support; evaluation; industry; interpretation; knowledge discovery; large databases; pattern searching; presentation; science; Aggregates; Asia; Association rules; Data mining; Databases; Europe; Information analysis; Management training; Marketing and sales; Pattern analysis;
fLanguage
English
Journal_Title
Potentials, IEEE
Publisher
ieee
ISSN
0278-6648
Type
jour
DOI
10.1109/45.624335
Filename
624335
Link To Document