Data Mining: An Overview from a Database Perspective
[DBLP_Link] [Online_Version] CitedBy 1551 [PDF]-
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 on-line services over the Internet, also call for various data mining techniques to better understand user behavior, to improve the service provided, and to increase the business opportunities. In response to such a demand, this article is to provide 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.
- Year: 1996
- Pages: 18
- Article: IEEE Trans. Knowl. Data Eng.
-
Authors:
Ming-Syan Chen
(professor, ACM Computer Science and Information Engineering Department Electrical Engineering Department GICE at National Taiwan University IEEE)
H-index: 35; Papers: 237; Citation: 7839 [FOAF] Homepage: http://arbor.ee.ntu.edu.tw/~mschen/ Expertise: Data Mining / Query Processing; Data mining; XML Data; Scalable video coding / Rate control;
Jiawei Han
(Professor, Department of Computer Science Univ. of Illinois at Urbana-Champaign Rm 2132, Siebel Center for Computer Science)
H-index: 74; Papers: 396; Citation: 52292 [FOAF] Homepage: http://www-sal.cs.uiuc.edu/~hanj/ Expertise: Data mining; XML Data; Data Mining / Query Processing; Database Systems; Large-scale video retrieval;
Philip S. Yu
(Professor and Wexler Chair in Information Technology, Department of Computer Science University of Illinois at Chicago )
H-index: 70; Papers: 561; Citation: 21263 [FOAF] Homepage: http://www.cs.uic.edu/~psyu/ Expertise: Data mining; XML Data; Data Mining / Query Processing; Real-Time Systems / Automated Software Test Data; Parallel Algorithms / Wormhole Networks; Queueing Networks / Time-dependent performance analysis;
Reference: [Top]
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Authors:
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