메뉴 건너뛰기




Volumn , Issue , 2008, Pages 453-461

Stream prediction using a generative model based on frequent episodes in event sequences

Author keywords

Event prediction; Event sequences; Frequent episodes; Generative models; Hidden markov models; Mixture of HMMs; Stream prediction; Temporal data mining

Indexed keywords

EVENT PREDICTION; EVENT SEQUENCES; FREQUENT EPISODES; GENERATIVE MODELS; STREAM PREDICTION; TEMPORAL DATA MINING;

EID: 65449133624     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401947     Document Type: Conference Paper
Times cited : (84)

References (14)
  • 1
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models
    • Technical Report TR-97-021, International Computer Science Institute, Berkeley, California, Apr
    • J. Bilmes. A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models. Technical Report TR-97-021, International Computer Science Institute, Berkeley, California, Apr. 1997.
    • (1997)
    • Bilmes, J.1
  • 2
    • 0022012278 scopus 로고
    • Discovering patterns in sequences of events
    • Feb
    • T. G. Dietterich and R. S. Michalski. Discovering patterns in sequences of events. Artificial Intelligence, 25(2): 187-232, Feb. 1985.
    • (1985) Artificial Intelligence , vol.25 , Issue.2 , pp. 187-232
    • Dietterich, T.G.1    Michalski, R.S.2
  • 11
    • 12344291169 scopus 로고    scopus 로고
    • T. Mukhopadhyay, U. Rajan, and R. Telang. Competition between internet search engines. In Proceedings of the 37th Hawaii International Conference on System Sciences, page 80216.1, 2004.
    • T. Mukhopadhyay, U. Rajan, and R. Telang. Competition between internet search engines. In Proceedings of the 37th Hawaii International Conference on System Sciences, page 80216.1, 2004.
  • 14
    • 23144437001 scopus 로고    scopus 로고
    • A. Ypma and T. Heskes. Automatic categorization of web pages and user clustering with mixtures of Hidden Markov Models. In Lecture Notes in Computer Science, Proceedings of WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles, 2703, pages 35-49, 2003.
    • A. Ypma and T. Heskes. Automatic categorization of web pages and user clustering with mixtures of Hidden Markov Models. In Lecture Notes in Computer Science, Proceedings of WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles, volume 2703, pages 35-49, 2003.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.