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Volumn 2016-January, Issue , 2016, Pages 919-924

Outcomes prediction via time intervals related patterns

Author keywords

Prediction; Time Intervals Mining

Indexed keywords

FORECASTING; INDEXING (OF INFORMATION);

EID: 84963591486     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2015.143     Document Type: Conference Paper
Times cited : (33)

References (15)
  • 6
    • 84930482550 scopus 로고    scopus 로고
    • Classification-driven temporal discretization of multivariate time series
    • R. Moskovitch and Y. Shahar. Classification-driven temporal discretization of multivariate time series. Data Mining and Knowledge Discovery, 29(4):871-913, 2015
    • (2015) Data Mining and Knowledge Discovery , vol.29 , Issue.4 , pp. 871-913
    • Moskovitch, R.1    Shahar, Y.2
  • 7
    • 84939240022 scopus 로고    scopus 로고
    • Fast time intervals mining using transitivity of temporal relations
    • R. Moskovitch and Y. Shahar. Fast time intervals mining using transitivity of temporal relations. Knowledge and Information Systems, 42(1):21-48, 2015
    • (2015) Knowledge and Information Systems , vol.42 , Issue.1 , pp. 21-48
    • Moskovitch, R.1    Shahar, Y.2
  • 8
    • 84963603050 scopus 로고    scopus 로고
    • Classification of multivariate time series via temporal abstraction and time intervals mining
    • In Press
    • R. Moskovitch and Y. Shahar. Classification of multivariate time series via temporal abstraction and time intervals mining. Knowledge and Information Systems, In Press
    • Knowledge and Information Systems
    • Moskovitch, R.1    Shahar, Y.2
  • 11
    • 34250727441 scopus 로고    scopus 로고
    • Three myths about dynamic time warping data mining
    • C. A. Ratanamahatana and E. Keogh. Three myths about dynamic time warping data mining. In SDM, pages 506-510, 2005
    • (2005) SDM , pp. 506-510
    • Ratanamahatana, C.A.1    Keogh, E.2
  • 14
    • 34250202878 scopus 로고    scopus 로고
    • Armada-an algorithm for discovering richer relative temporal association rules from interval-based data
    • E. Winarko and J. F. Roddick. Armada-an algorithm for discovering richer relative temporal association rules from interval-based data. Data &Knowledge Engineering, 63(1):76-90, 2007
    • (2007) Data &Knowledge Engineering , vol.63 , Issue.1 , pp. 76-90
    • Winarko, E.1    Roddick, J.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.