Data Mining: An Overview from A Database Perspective
Resource
IEEE Transactions on Knowledge and Data Engineering 8 (6): 866-883
Journal
IEEE Transactions on Knowledge and Data Engineering
Journal Volume
8
Journal Issue
6
Pages
866-883
Date Issued
1996
Date
1996
Author(s)
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.
SDGs
Type
journal article
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Format
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