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Volumn 3841 LNCS, Issue , 2006, Pages 85-96

Clustering web documents based on knowledge granularity

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; ENGINEERS; KNOWLEDGE ACQUISITION; KNOWLEDGE BASED SYSTEMS; WORLD WIDE WEB;

EID: 33745644066     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11610113_9     Document Type: Conference Paper
Times cited : (3)

References (21)
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    • Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualization
    • A.L. Hsu and S.K. Halgamuge, "Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualization," International Journal of Approximate Reasoning, vol. 32, no.2-3, 2003, pp. 259-279.
    • (2003) International Journal of Approximate Reasoning , vol.32 , Issue.2-3 , pp. 259-279
    • Hsu, A.L.1    Halgamuge, S.K.2
  • 5
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    • A tolerance rough set approach to clustering web search results
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    • PKDD 2004 , pp. 515-517
    • Chi Lang Ngo1    Hung Son Nguyen2
  • 8
    • 0001366453 scopus 로고    scopus 로고
    • Properties of in complete information systems in the framework of rough sets
    • L Polkowski, A Skow roneds. Berlin: Springer-Verlag
    • M Kryszkiewicz. Properties of in complete information systems in the framework of rough sets. In:L Polkowski, A Skow roneds. Rough Sets in Data Mining and Knowledge Discovery. Berlin: Springer-Verlag, 1998.422-450.
    • (1998) Rough Sets in Data Mining and Knowledge Discovery , pp. 422-450
    • Kryszkiewicz, M.1
  • 9
    • 0032294902 scopus 로고    scopus 로고
    • Rough set approach to incomplete information system
    • M.Kryszkiewicz. Rough set approach to incomplete information system. Information Sciences, 1998, 112:39-495.
    • (1998) Information Sciences , vol.112 , pp. 39-495
    • Kryszkiewicz, M.1
  • 16
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough set approximation
    • Yao, Y.Y. (2001) Information granulation and rough set approximation, International Journal of Intelligent Systems, 16, 87-104.
    • (2001) International Journal of Intelligent Systems , vol.16 , pp. 87-104
    • Yao, Y.Y.1
  • 17
    • 0344990580 scopus 로고    scopus 로고
    • Granular computing for the design of information retrieval support systems
    • Wu, W., Xiong, H. and Shekhar, S. (Eds.), Kluwer Academic Publishers 299
    • Yao, Y.Y. (2003) Granular computing for the design of information retrieval support systems, in: Information Retrieval and Clustering, Wu, W., Xiong, H. and Shekhar, S. (Eds.), Kluwer Academic Publishers 299.
    • (2003) Information Retrieval and Clustering
    • Yao, Y.Y.1
  • 18
    • 35048879624 scopus 로고    scopus 로고
    • A partition model of granular computing
    • Yao, Y.Y. A Partition Model of Granular Computing. T. Rough Sets 2004: 232-253.
    • (2004) T. Rough Sets , pp. 232-253
    • Yao, Y.Y.1
  • 19
    • 1642469977 scopus 로고    scopus 로고
    • Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • Zadeh, L.A. Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems, 19, 111-127.
    • Fuzzy Sets and Systems , vol.19 , pp. 111-127
    • Zadeh, L.A.1
  • 20
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    • Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/ intelligent systems
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    • Soft Computing , vol.2 , pp. 23-32
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.