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 language | English |
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Title of host publication | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference |
Pages | 613-614 |
Number of pages | 2 |
Publication status | Published - 2001 |
Externally published | Yes |
Event | 25th Annual International Computer Software and Applications Conference (COMPSAC)2001 - Chicago, IL, United States Duration: Oct 8 2001 → Oct 12 2001 |
Other
Other | 25th Annual International Computer Software and Applications Conference (COMPSAC)2001 |
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Country/Territory | United States |
City | Chicago, IL |
Period | 10/8/01 → 10/12/01 |
ASJC Scopus subject areas
- Software