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Volumn 5306 LNAI, Issue , 2008, Pages 379-388

A dynamic approach to rough clustering

Author keywords

Dynamic clustering; Dynamic data mining; Rough clustering

Indexed keywords

COMPUTATION THEORY; CRUDE OIL PRICE; DATA MINING; K-MEANS CLUSTERING; SALES;

EID: 57049089360     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88425-5_39     Document Type: Conference Paper
Times cited : (5)

References (15)
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  • 3
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  • 4
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    • Lingras, P.: Applications of rough set based k-means, Kohonen SOM, GA clustering. In: Peters, J., Skowron, A., Marek, V., Orlowska, E., Slowinski, R., Ziarko, W. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 120-139. Springer, Heidelberg (2007)
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    • Peters, G., Lampart, M., Weber, R.: Evolutionary rough k-medoids clustering. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets VIII. LNCS, vol. 5084, pp. 289-306. Springer, Heidelberg (2008)
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  • 8
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    • A methodology for dynamic data mining based on fuzzy clustering
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    • Lingras, P., Yan, R., West, C.: Comparison of conventional and rough k-means clustering. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), 2639, pp. 130-137. Springer, Heidelberg (2003)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.