DMCA
Data Mining: An Overview from Database Perspective (1996)
| Venue: | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING |
| Citations: | 532 - 26 self |
BibTeX
@ARTICLE{Chen96datamining:,
author = {Ming-syan Chen and Jiawei Hun and Philip S. Yu},
title = {Data Mining: An Overview from Database Perspective},
journal = {IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING},
year = {1996},
volume = {8},
pages = {866--883}
}
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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.
Keyphrases
data mining database perspective database researcher business opportunity data mining technique on-line service great interest many industrial company machine learning user behavior database system various data mining technique many different field key research topic information providing service many researcher available data mining technique major revenue important area comparative study large database
