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Web for data mining: organizing and interpreting the discovered rules using the Web

Web for data mining: organizing and interpreting the discovered rules using the Web Web for Data Mining: Organizing and Interpreting the Discovered Rules Using the Web Yiming Ma School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 Bing Liu School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 Ching Kian Wong School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 maym@comp.nus.edu.sg ABSTRACT liub@comp.nus.edu.sg wongck@comp.nus.edu.sg The web not only contains a vast amount of usefUl information, but also provides a powerful infrastructure for communication and information sharing. In this paper, we present a system (called DS-Web) that uses the web to help data mining. Specifically, we use the web to facilitate delivering and interpreting the discovered rules. Interpreting the discovered rules to gain a good understanding of the domain is an important phase of data mining. It is also a very difficult task because the number of rules involved is often very large. This problem has been regarded as a major obstacle to the use of data mining results. DS-WEB assists the user in understanding a set of discovered rules in two steps. First, it finds a special subset (or a summary) of the rules that represents the essential relationships http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGKDD Explorations Newsletter Association for Computing Machinery

Web for data mining: organizing and interpreting the discovered rules using the Web

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2000 by ACM Inc.
ISSN
1931-0145
DOI
10.1145/360402.360408
Publisher site
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Abstract

Web for Data Mining: Organizing and Interpreting the Discovered Rules Using the Web Yiming Ma School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 Bing Liu School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 Ching Kian Wong School of Computing National University of Singapore 3 Science Drive 2, Singapore 117543 maym@comp.nus.edu.sg ABSTRACT liub@comp.nus.edu.sg wongck@comp.nus.edu.sg The web not only contains a vast amount of usefUl information, but also provides a powerful infrastructure for communication and information sharing. In this paper, we present a system (called DS-Web) that uses the web to help data mining. Specifically, we use the web to facilitate delivering and interpreting the discovered rules. Interpreting the discovered rules to gain a good understanding of the domain is an important phase of data mining. It is also a very difficult task because the number of rules involved is often very large. This problem has been regarded as a major obstacle to the use of data mining results. DS-WEB assists the user in understanding a set of discovered rules in two steps. First, it finds a special subset (or a summary) of the rules that represents the essential relationships

Journal

ACM SIGKDD Explorations Newsletter – Association for Computing Machinery

Published: Jun 1, 2000

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