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Volumn 1, Issue 2, 2007, Pages 131-144

Generating overview timelines for major events in an RSS corpus

Author keywords

Clustering; Feature selection; Overview timeline

Indexed keywords


EID: 34247545762     PISSN: 17511577     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.joi.2006.10.002     Document Type: Article
Times cited : (7)

References (28)
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    • NIST Speech Group. (2005). The topic detection and tracking phase 2 (TDT2) evaluation plan. [http://www.nist.gov/speech/tests/tdt/tdt98/ (accessed 15 June 2005)].
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    • A comparison of feature selection methods for an evolving RSS feed corpus
    • Prabowo R., and Thelwall M. A comparison of feature selection methods for an evolving RSS feed corpus. IPM 42 6 (2006) 1491-1512
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    • Prabowo, R.1    Thelwall, M.2
  • 20
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    • Machine learning in automated text categorization
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    • Sebastiani, F.1
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    • Stein B., and Niggemann O. On the nature of structure and its identification. In: Widmayer P., Neyer G., and Eidenbenz S. (Eds). Proceedings of the 25th international workshop on graph-theoretic concepts in computer science. Monte Verita, Ascona, Switzerland, June 17-19 1999 (1999) 122-134
    • (1999) Proceedings of the 25th international workshop on graph-theoretic concepts in computer science , pp. 122-134
    • Stein, B.1    Niggemann, O.2
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    • Are raw rss feeds suitable for broad issue scanning? A science concern case study
    • Thelwall M., Prabowo R., and Fairclough R. Are raw rss feeds suitable for broad issue scanning? A science concern case study. JASIST 57 12 (2006) 1644-1654
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    • Thelwall, M.1    Prabowo, R.2    Fairclough, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.