Index miner

I-Jen Chiang, Tsau Young Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Index miner, a Java based data mining tool that contained the methodologies of classification, clustering, association rules, visualization, attribute transformation and feature selection was developed. The tool provided machine learning algorithms for data analysis so that the users could create their own learning flows. The performance statistics such as accuracy precision recall and others were included in Index miner.

Original languageEnglish
Title of host publicationProceedings - IEEE Computer Society's International Computer Software and Applications Conference
Pages613-614
Number of pages2
Publication statusPublished - 2001
Externally publishedYes
Event25th Annual International Computer Software and Applications Conference (COMPSAC)2001 - Chicago, IL, United States
Duration: Oct 8 2001Oct 12 2001

Other

Other25th Annual International Computer Software and Applications Conference (COMPSAC)2001
CountryUnited States
CityChicago, IL
Period10/8/0110/12/01

ASJC Scopus subject areas

  • Software

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  • Cite this

    Chiang, I-J., & Lin, T. Y. (2001). Index miner. In Proceedings - IEEE Computer Society's International Computer Software and Applications Conference (pp. 613-614)