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Volumn 2522 LNAI, Issue , 2002, Pages 154-162

Association rule extraction for text mining

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; FUZZY RULES;

EID: 23044532018     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36109-x_12     Document Type: Conference Paper
Times cited : (8)

References (26)
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  • 5
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    • Acquisition of fuzzy association rules from medical data
    • Barro, S. and Marín, R. (Eds.) Physica-Verlag
    • Delgado, M., Sánchez, D., Vila, M.A. Acquisition of fuzzy association rules from medical data. In Barro, S. and Marín, R. (Eds.) Fuzzy Logic in Medicine, Physica-Verlag, 2000.
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    • Relevance feedback and other query modification techniques
    • W.B. Frakes and R. Baeza-Yates (Eds.) Prentice Hall
    • Harman, D.K. "Relevance Feedback and Other Query Modification Techniques". In W.B. Frakes and R. Baeza-Yates (Eds.) Information Retrieval: Data Structures and Algorithms, pp. 241-263, Prentice Hall, 1992.
    • (1992) Information Retrieval: Data Structures and Algorithms , pp. 241-263
    • Harman, D.K.1
  • 18
    • 4944225039 scopus 로고    scopus 로고
    • Knowledge discovery in texts: A definition, and applications
    • Z. W. Ras and A. Skowron (Eds.) Lectures Notes on Artificial Intelligence Springer Verlag
    • Kodratoff, Y. Knowledge Discovery in Texts: A Definition, and Applications. In Z. W. Ras and A. Skowron (Eds.) Foundation of Intelligent Systems, Lectures Notes on Artificial Intelligence 1609, Springer Verlag, 1999.
    • (1999) Foundation of Intelligent Systems , vol.1609
    • Kodratoff, Y.1
  • 20
    • 0032263983 scopus 로고    scopus 로고
    • Extracting classification knowledge of internet documents with mining term associations: A semantic approach
    • Melbourne, Australia
    • Lin, S.H., Shih, CS., Chen, M.C., Ho, J.M., Ko, M.T., Huang, Y.M. Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach. Proc. of ACM/SIGIR'98, pp. 241-249, Melbourne, Australia, 1998.
    • (1998) Proc. of ACM/SIGIR'98 , pp. 241-249
    • Lin, S.H.1    Shih, C.S.2    Chen, M.C.3    Ho, J.M.4    Ko, M.T.5    Huang, Y.M.6
  • 21
    • 0002877253 scopus 로고
    • Discovery, analysis, and presentation of strong rules
    • Piatetsky-Shapiro, G. and Frawley W.J. (Eds.) AAAI/MIT Press
    • Piatetsky-Shapiro, G. Discovery, Analysis, and Presentation of Strong Rules. In Piatetsky-Shapiro, G. and Frawley W.J. (Eds.) Knowledge Discovery in Databases, AAAI/MIT Press, 1991.
    • (1991) Knowledge Discovery in Databases
    • Piatetsky-Shapiro, G.1
  • 22
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    • An algorithm for suffix stripping
    • Porter, M.F. An algorithm for suffix stripping. Program, 14(3): 130-137, 1980.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
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    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 26
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    • A computational approach to fuzzy quantifiers in natural languages
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    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.