메뉴 건너뛰기




Volumn 20, Issue 6, 2005, Pages 370-378

Increasing scalability of researcher network extraction from the web

Author keywords

Cooccurrence; Scalability; Search engine; Social network; Web mining

Indexed keywords


EID: 33846574142     PISSN: 13460714     EISSN: 13468030     Source Type: Journal    
DOI: 10.1527/tjsai.20.370     Document Type: Article
Times cited : (5)

References (14)
  • 2
    • 85055298348 scopus 로고
    • Accurate methods for the statistics of surprise and coincidence
    • Dunning, T. E.: Accurate methods for the statistics of surprise and coincidence, Computational Linguistics, Vol. 19, No. 1, pp. 61-74 (1993)
    • (1993) Computational Linguistics , vol.19 , Issue.1 , pp. 61-74
    • Dunning, T.E.1
  • 3
    • 33846590669 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 4
    • 33846623901 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 5
    • 0031167132 scopus 로고    scopus 로고
    • The hidden web
    • Kautz, H., Selman, B., and Shah, M.: The hidden web, AI Magazine, Vol. 18, No. 2, pp. 27-36 (1997)
    • (1997) AI Magazine , vol.18 , Issue.2 , pp. 27-36
    • Kautz, H.1    Selman, B.2    Shah, M.3
  • 6
    • 33846623450 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 9
    • 33746035279 scopus 로고    scopus 로고
    • Social-PathFinder: Computer supported exploration of social networks on WWW
    • Ogata, H., Fukui, T., and Yano, Y.: Social-PathFinder: computer supported exploration of social networks on WWW, in ICCE99, vol.2, pp. 768-771 (1999)
    • (1999) ICCE99 , vol.2 , pp. 768-771
    • Ogata, H.1    Fukui, T.2    Yano, Y.3
  • 10
    • 33846609733 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 12
    • 33846621191 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 13
    • 33846583741 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source
  • 14
    • 33846588548 scopus 로고    scopus 로고
    • Japanese source
    • Japanese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.