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Volumn , Issue , 2007, Pages 103-112

Incorporating user provided constraints into document clustering

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; BLIND SOURCE SEPARATION; CHLORINE COMPOUNDS; DATA MINING; DECISION SUPPORT SYSTEMS; FACTORIZATION; FEATURE EXTRACTION; FLOW OF SOLIDS; FOOD PROCESSING; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; ITERATIVE METHODS; MATRIX ALGEBRA; MINING; SEARCH ENGINES; TRACKING (POSITION);

EID: 49749105201     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.67     Document Type: Conference Paper
Times cited : (32)

References (38)
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    • Document classification through interactive supervision of document and term labels
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    • Godbole, S.1    Harpale, A.2    Sarawagi, S.3    Chakrabarti, S.4
  • 14
    • 0006019644 scopus 로고    scopus 로고
    • A probabilistic approach to full-text document clustering
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    • M. Goldszmidt and M. Sahami. A probabilistic approach to full-text document clustering. Technical Report ITAD-433-MS-98-044, SRI International, 1998.
    • Goldszmidt, M.1    Sahami, M.2
  • 15
    • 14344263547 scopus 로고    scopus 로고
    • Centroid-based document classification: Analysis and experimental results
    • E.-H. Han and G. Karypis. Centroid-based document classification: Analysis and experimental results. In proc. of PKDD, 2000.
    • (2000) proc. of PKDD
    • Han, E.-H.1    Karypis, G.2
  • 17
    • 6344251104 scopus 로고    scopus 로고
    • Text clustering based on background knowledge
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    • (2003)
    • Hotho, A.1    Staab, S.2    Stumme, G.3
  • 24
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 26
    • 49849097634 scopus 로고    scopus 로고
    • The relationships among various nonnegative matrix factorization methods for clustering
    • T. Li and C. Ding. The relationships among various nonnegative matrix factorization methods for clustering. In proc. of IEEE International Conference on Data Mining, 2006.
    • (2006) proc. of IEEE International Conference on Data Mining
    • Li, T.1    Ding, C.2
  • 35
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    • Recent trends in hierarchic document clustering: A critical review
    • P. Willett. Recent trends in hierarchic document clustering: a critical review. Inf. Process. Manage., 24(5):577-597, 1988.
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    • Willett, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.