The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 28-470
Full Name: Yukyung Kang
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Dept. of Computer Science & Engineering, SunMoon University, 100 Kal-San-Ri, Tang-Jeong-Myeon, A-San, Chung-Nam, 336-708,
Country: KOREA
Tel: 82-41-530-2265
Tel prefix:
Fax: 82-41-530-2876
E-mail address: yukyung.kang@gmail.com
Other E-mails: shwang@sunmoon.ac.kr
Title of the Paper: a clustering approach for classification of rough data set based on fca
Authors as they appear in the Paper: Yukyung Kang, Sukhyung Hwang
Email addresses of all the authors: yukyung.kang@gmail.com,shwang@sunmoon.ac.kr
Number of paper pages: 10
Abstract: Nowadays, large amount of data is being increase explosively and rapidly by development of Information Technology. Data can be large in terms of size, dimensionality, or both in World Wide Web. Consequently, we have some difficulties for extracting useful knowledge from massive data in the task of data mining. In order to support data mining, many approaches are proposed. Classification and clustering are two forms of data mining, which are used to extract useful knowledge from raw data and classify a data item into one of several predefined categorical classes. In clustering, a given set of data can be mapped into one of several clusters based on similarity metrics or probability density models. In this paper, as a Data Mining approach, we have proposed a Rough Concept Analysis and developed Rough Concept Analyzer for extracting hidden knowledge easily from given vague data. Also we show some experiments that demonstrate how our approach can be applied in World Wi!
de Web mining. Our research results would be helpful for clustering and classification of the vague web data, in particular when dealing with the uncertain data resources.
Keywords: Data mining, Clustering, Classification, Rough concept analysis.
EXTENSION of the file: .doc
Special (Invited) Session: Rough Concept Analysis for Rough Classification
Organizer of the Session: 593-267
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