메뉴 건너뛰기




Volumn 27, Issue 4, 2004, Pages 645-663

A text mining approach on automatic generation of web directories and hierarchies

Author keywords

Self organizing map; Text mining; Web directory construction; Web hierarchy construction; World wide web

Indexed keywords

AUTOMATION; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL; MANUAL CONTROL; SELF ORGANIZING MAPS; USER INTERFACES; VECTORS; WEB BROWSERS; WORLD WIDE WEB;

EID: 4544318080     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.06.009     Document Type: Article
Times cited : (45)

References (27)
  • 1
    • 0028461417 scopus 로고
    • Automated learning of decision rules for text categorization
    • Apte, C., Damerau, F., & Weiss, S. M. (1994). Automated learning of decision rules for text categorization. ACM Transactions Information Systems, 12(3), 233-251.
    • (1994) ACM Transactions Information Systems , vol.12 , Issue.3 , pp. 233-251
    • Apte, C.1    Damerau, F.2    Weiss, S.M.3
  • 13
    • 0344972929 scopus 로고    scopus 로고
    • Websom-selforganizing maps of document collections
    • Kaski, S., Honkela, T., Lagus, K., & Kohonen, T. (1998). Websom-selforganizing maps of document collections. Neurocomputing, 21, 101-117.
    • (1998) Neurocomputing , vol.21 , pp. 101-117
    • Kaski, S.1    Honkela, T.2    Lagus, K.3    Kohonen, T.4
  • 17
    • 0002312061 scopus 로고
    • Feature selection and feature extraction for text categorization
    • Arden House
    • Lewis, D. D. (1992). Feature selection and feature extraction for text categorization In: Proceedings Speech and Natural Language Workshop. Arden House pp. 212-217.
    • (1992) Proceedings Speech and Natural Language Workshop , pp. 212-217
    • Lewis, D.D.1
  • 22
    • 22844453827 scopus 로고    scopus 로고
    • Using self-organizing maps to organize document archives and to characterize subject matter: How to make a map tell the news of the world
    • Rauber, A., & Merkl, D. (1999). Using self-organizing maps to organize document archives and to characterize subject matter: how to make a map tell the news of the world In: Proceedings 10th International Conference on Database and Expert Systems Applications pp. 302-311.
    • (1999) Proceedings 10th International Conference on Database and Expert Systems Applications , pp. 302-311
    • Rauber, A.1    Merkl, D.2
  • 25
    • 2442512876 scopus 로고
    • Automatic text theme generation and the analysis of text structure
    • Ithaca, NY: Department of Computer Science, Cornell University
    • Salton, G., & Singhal, A. (1994). Automatic text theme generation and the analysis of text structure Technical Report TR 94-1438, Ithaca, NY: Department of Computer Science, Cornell University.
    • (1994) Technical Report , vol.TR 94-1438
    • Salton, G.1    Singhal, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.