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Volumn , Issue , 2005, Pages 1010-1011

Automatically learning document taxonomies for hierarchical classification

Author keywords

Automatic taxonomy learning; Hierarchical classification

Indexed keywords

CLASS LABELS; DATA SETS; HIERARCHICAL CLASSIFICATION; HIERARCHICAL STRUCTURES; LABELED DOCUMENTS; MULTI-CLASS CLASSIFICATION; WEB CONTENT;

EID: 33749582181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1062745.1062843     Document Type: Conference Paper
Times cited : (47)

References (5)
  • 1
    • 0000776545 scopus 로고    scopus 로고
    • Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
    • S. Chakrabarti, B. Dom, R. Agrawal, and P. Raghavan. Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies. VLDB Journal: Very Large Data Bases, 7(3):163-178, 1998.
    • (1998) VLDB Journal: Very Large Data Bases , vol.7 , Issue.3 , pp. 163-178
    • Chakrabarti, S.1    Dom, B.2    Agrawal, R.3    Raghavan, P.4
  • 2
    • 0003219068 scopus 로고    scopus 로고
    • Efficient clustering of very large document collections
    • R. Grossman, G. Kamath, and R. Naburu, editors, Kluwer Academic Publishers
    • I. Dhillon, J. Fan, and Y. Guan. Efficient clustering of very large document collections. In R. Grossman, G. Kamath, and R. Naburu, editors, Data Mining for Scientific and Engineering Applications. Kluwer Academic Publishers, 2001.
    • (2001) Data Mining for Scientific and Engineering Applications
    • Dhillon, I.1    Fan, J.2    Guan, Y.3
  • 3
    • 0033656184 scopus 로고    scopus 로고
    • Hierarchical classification of web content
    • S. Dumais and H. Chen. Hierarchical classification of web content. In SIGIR '00, pages 256-263. 2000.
    • (2000) SIGIR '00 , pp. 256-263
    • Dumais, S.1    Chen, H.2
  • 5
    • 0242613950 scopus 로고    scopus 로고
    • Improving multiclass text classification with the support vector machine
    • J. Rennie and R. Rifkin. Improving multiclass text classification with the support vector machine. In MIT. AI Memo AIM-2001-026, 2001.
    • (2001) MIT. AI Memo AIM-2001-026
    • Rennie, J.1    Rifkin, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.