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Volumn 3103, Issue , 2004, Pages 1332-1333

Generating compact rough cluster descriptions using an evolutionary algorithm

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EID: 35048868300     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_152     Document Type: Article
Times cited : (9)

References (5)
  • 2
    • 0003019199 scopus 로고    scopus 로고
    • Regularity Analysis and its Applications in Data Mining
    • Polkowski, L., Tsumoto, S., Lin, T. Y. (eds.): Physica-Verlag, Heidelberg New York
    • Nguyen, S. H.: Regularity Analysis and its Applications in Data Mining. In: Polkowski, L., Tsumoto, S., Lin, T. Y. (eds.): Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems. Physica-Verlag, Heidelberg New York (2000) 289-378
    • (2000) Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems , pp. 289-378
    • Nguyen, S.H.1
  • 5
    • 34447341411 scopus 로고    scopus 로고
    • Cluster Analysis of Marketing Data Examining On-line Shopping Orientation: A Comparison of K-means and Rough Clustering Approaches
    • Abbass, H.A. Sarker, R.A., Newton, C.S. (eds.): Idea Group Publishing, Hershey, PA
    • Voges, K. E., Pope, N. K. Ll., Brown, M. R.: Cluster Analysis of Marketing Data Examining On-line Shopping Orientation: A Comparison of K-means and Rough Clustering Approaches. In: Abbass, H.A. Sarker, R.A., Newton, C.S. (eds.): Heuristics and Optimization for Knowledge Discovery. Idea Group Publishing, Hershey, PA (2002) 207-224
    • (2002) Heuristics and Optimization for Knowledge Discovery , pp. 207-224
    • Voges, K.E.1    Pope, N.K.Ll.2    Brown, M.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.