Index miner

I-Jen Chiang; Tsau Young Lin

Index miner

I-Jen Chiang, Tsau Young Lin

研究成果: 書貢獻/報告類型 › 會議貢獻

摘要

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.

原文	英語
主出版物標題	Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
頁面	613-614
頁數	2
出版狀態	已發佈 - 2001
對外發佈	是
事件	25th Annual International Computer Software and Applications Conference (COMPSAC)2001 - Chicago, IL, 美国持續時間: 10月 8 2001 → 10月 12 2001

其他

其他	25th Annual International Computer Software and Applications Conference (COMPSAC)2001
國家/地區	美国
城市	Chicago, IL
期間	10/8/01 → 10/12/01

ASJC Scopus subject areas

軟體

其它文件與鏈接

引用此

@inproceedings{ac4b20a67d5c4a7fa3f02c64560c920d,

title = "Index miner",

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.",

author = "I-Jen Chiang and Lin, {Tsau Young}",

year = "2001",

language = "English",

pages = "613--614",

booktitle = "Proceedings - IEEE Computer Society's International Computer Software and Applications Conference",

note = "25th Annual International Computer Software and Applications Conference (COMPSAC)2001 ; Conference date: 08-10-2001 Through 12-10-2001",

}

TY - GEN

T1 - Index miner

AU - Chiang, I-Jen

AU - Lin, Tsau Young

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0035161199&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035161199&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0035161199

SP - 613

EP - 614

BT - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference

T2 - 25th Annual International Computer Software and Applications Conference (COMPSAC)2001

Y2 - 8 October 2001 through 12 October 2001

ER -

Index miner

摘要

其他

ASJC Scopus subject areas

其它文件與鏈接

指紋

引用此