DocumentCode
1279135
Title
Data mining: an overview from a database perspective
Author
Chen, Ming-Syan ; Han, Jiawei ; Yu, Philip S.
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
8
Issue
6
fYear
1996
fDate
12/1/1996 12:00:00 AM
Firstpage
866
Lastpage
883
Abstract
Mining information and knowledge from large databases has been recognized by many researchers as a key research topic in database systems and machine learning, and by many industrial companies as an important area with an opportunity of major revenues. Researchers in many different fields have shown great interest in data mining. Several emerging applications in information-providing services, such as data warehousing and online services over the Internet, also call for various data mining techniques to better understand user behavior, to improve the service provided and to increase business opportunities. In response to such a demand, this article provides a survey, from a database researcher´s point of view, on the data mining techniques developed recently. A classification of the available data mining techniques is provided and a comparative study of such techniques is presented
Keywords
Internet; deductive databases; generalisation (artificial intelligence); information services; knowledge acquisition; learning (artificial intelligence); pattern matching; reviews; very large databases; Internet; association rules; business opportunities; classification; comparative study; data characterization; data clustering; data cubes; data generalization; data mining; data warehousing; information-providing services; knowledge discovery; large databases; machine learning; multiple-dimensional databases; online services; overview; pattern matching algorithms; user behavior; Business; Data engineering; Data mining; Engineering management; Learning; Power engineering and energy; Power system management; Relational databases; Spatial databases; US Government;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.553155
Filename
553155
Link To Document