메뉴 건너뛰기




Volumn , Issue , 2008, Pages 605-613

Efficient ticket routing by resolution sequence mining

Author keywords

Markov model; Sequence mining; Workflow mining and optimization

Indexed keywords

ACTIVE STATE; CONDITIONAL ENTROPIES; HUMAN DECISIONS; MARKOV MODEL; PROBLEM MANAGEMENTS; PROBLEM RESOLUTIONS; REAL-WORLD PROBLEMS; ROUTING EFFICIENCIES; SEARCH ALGORITHMS; SEQUENCE MINING; WORKFLOW MINING AND OPTIMIZATION;

EID: 65449159442     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401964     Document Type: Conference Paper
Times cited : (76)

References (22)
  • 4
    • 0040121972 scopus 로고
    • Statistical inference regarding Markov chain models
    • C. Chatfield. Statistical inference regarding Markov chain models. Appl. Statist, 22:7-20, 1973.
    • (1973) Appl. Statist , vol.22 , pp. 7-20
    • Chatfield, C.1
  • 6
    • 0032108294 scopus 로고    scopus 로고
    • Discovering models of software processes from event-based data
    • J. Cook and A. Wolf. Discovering models of software processes from event-based data. ACM Trans. Software Eng. and Methodology, 7(3):215-249, 1998.
    • (1998) ACM Trans. Software Eng. and Methodology , vol.7 , Issue.3 , pp. 215-249
    • Cook, J.1    Wolf, A.2
  • 8
    • 0030243475 scopus 로고    scopus 로고
    • The optimal error exponent for Markov order estimation
    • L. Finesso, C.-C. Liu, and P. Narayan. The optimal error exponent for Markov order estimation. IEEE Trans. on Information Theory, 42(5):1488-1497, 1996.
    • (1996) IEEE Trans. on Information Theory , vol.42 , Issue.5 , pp. 1488-1497
    • Finesso, L.1    Liu, C.-C.2    Narayan, P.3
  • 10
    • 35048871942 scopus 로고    scopus 로고
    • Discovering workflow transactional behavior from event-based log
    • W. Gaaloul, S. Bhiri, and C. Godart. Discovering workflow transactional behavior from event-based log. In Proc 12th Int'l Conf. CoopIS, pages 3-18, 2004.
    • (2004) Proc 12th Int'l Conf. CoopIS , pp. 3-18
    • Gaaloul, W.1    Bhiri, S.2    Godart, C.3
  • 12
    • 3242806004 scopus 로고    scopus 로고
    • Lessons and challenges from mining retail e-commerce data
    • R. Kohavi, L. Mason, and Z. Zheng. Lessons and challenges from mining retail e-commerce data. Machine Learning, 57:83-113, 2004.
    • (2004) Machine Learning , vol.57 , pp. 83-113
    • Kohavi, R.1    Mason, L.2    Zheng, Z.3
  • 13
    • 0346984143 scopus 로고    scopus 로고
    • Decomposition of event sequences into independent components
    • H. Mannila and D. Rusakov. Decomposition of event sequences into independent components. In Proc. 1st SIAM Conf. Data Mining, pages 1-17, 2001.
    • (2001) Proc. 1st SIAM Conf. Data Mining , pp. 1-17
    • Mannila, H.1    Rusakov, D.2
  • 17
    • 33749996462 scopus 로고    scopus 로고
    • Decision mining in ProM
    • A. Rozinat and W. van der Aalst. Decision mining in ProM. In LNCS, pages 420-425, 2006.
    • (2006) LNCS , pp. 420-425
    • Rozinat, A.1    van der Aalst, W.2
  • 18
    • 70849107247 scopus 로고    scopus 로고
    • Easy ticket: A ticket routing recommendation engine for enterprise problem resolution
    • Q. Shao, Y. Chen, S. Tao, X. Yan, and N. Anerousis. Easy ticket: A ticket routing recommendation engine for enterprise problem resolution. 34th Int'l Conf. VLDB, 2008.
    • (2008) 34th Int'l Conf. VLDB
    • Shao, Q.1    Chen, Y.2    Tao, S.3    Yan, X.4    Anerousis, N.5
  • 20
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: Discovery and applications of usage patterns from web data
    • J. Srivastava, R. Cooley, M. Deshpande, and P. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, l(3):12-23, 2001.
    • (2001) SIGKDD Explorations , vol.50 , Issue.3 , pp. 12-23
    • Srivastava, J.1    Cooley, R.2    Deshpande, M.3    Tan, P.4
  • 22
    • 0034826102 scopus 로고    scopus 로고
    • SPADE: An efficient algorithm for mining frequent sequences
    • M. Zaki. SPADE: An efficient algorithm for mining frequent sequences. Machine Learning, 40:31-60, 2001.
    • (2001) Machine Learning , vol.40 , pp. 31-60
    • Zaki, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.