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Volumn , Issue , 2010, Pages 543-548

Analysis of collaborative writing processes using hidden markov models and semantic heuristics

Author keywords

Collaborative writing; Hidden markov model; Process mining; Text mining

Indexed keywords

COLLABORATIVE WRITING; MARKOV MODEL; PERFORMANCE LEVEL; PROCESS MINING; SEMANTIC INTERPRETATION; SPECIFIC SEQUENCES; TEXT MINING; WRITING BEHAVIOR;

EID: 79951735774     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2010.118     Document Type: Conference Paper
Times cited : (8)

References (12)
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    • Pittsburgh, PA, USA
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    • Jeong, H.1    Biswas, G.2    Johnson, J.3    Howard, L.4
  • 5
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    • The segmental k-mean algorithm for estimating the parameters of hidden markov models
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    • A Bayesian approach for structural learning with hidden Markov models
    • C. Li and G. Biswas, "A bayesian approach for learning hidden markov models from data," Special issue on Markov Chain and Hidden Markov Models, Scientific Programming, vol. 10, pp. 201-219, 2002. (Pubitemid 35476731)
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    • Li, C.1    Biswas, G.2
  • 7
    • 4544242206 scopus 로고    scopus 로고
    • Building a taxonomy and nomenclature of collaborative writing to improve interdisciplinary research and practice
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    • Lowry, P.B.1    Curtis, A.2    Lowry, M.R.3
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  • 12
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    • Hidden semi-markov models
    • S.-Z. Yu, "Hidden semi-markov models," Artificial Intelligence, vol. 174, pp. 215-243, 2010.
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    • Yu, S.-Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.