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Volumn , Issue , 2009, Pages 208-213

Induction of mean output prediction trees from continuous temporal meteorological data

Author keywords

Inductive learning; Multivariate statistics; Multivariate time series; Regression trees; Split criteria; Temporal prediction; Time resolution

Indexed keywords

INDUCTIVE LEARNING; MULTIVARIATE STATISTICS; MULTIVARIATE TIME SERIES; TEMPORAL PREDICTION; TIME RESOLUTION;

EID: 77951147643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.30     Document Type: Conference Paper
Times cited : (2)

References (26)
  • 1
    • 77951159502 scopus 로고    scopus 로고
    • Temporal data modeling and reasoning for information statistical view of boosting
    • S. Spranger, F. Bry, "Temporal Data Modeling and Reasoning for Information Statistical View of Boosting", The Annals of Statistic, 38(2), 2006, pp. 337-374.
    • (2006) The Annals of Statistic , vol.38 , Issue.2 , pp. 337-374
    • Spranger, S.1    Bry, F.2
  • 2
    • 48249100516 scopus 로고    scopus 로고
    • Estimating stock market volatility using asymmetric GARCH models
    • D. Alberg, H. Shalit, R. Yosef, "Estimating Stock Market Volatility Using Asymmetric GARCH Models", Applied Financial Economics, Vol. 18 No 15, 2008, pp. 1201-1208.
    • (2008) Applied Financial Economics , vol.18 , Issue.15 , pp. 1201-1208
    • Alberg, D.1    Shalit, H.2    Yosef, R.3
  • 4
    • 33745909133 scopus 로고    scopus 로고
    • Spatial-temporal cross-correlation analysis: A new measure and a case study in infectious disease
    • S Mehrotra et al (Eds ): ISI 2006 LNCS 3975
    • J. Ma, D. Zeng, H. Chen, "Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease", Informatics, S Mehrotra et al (Eds ): ISI 2006 LNCS 3975, 2006, pp. 542-547.
    • (2006) Informatics , pp. 542-547
    • Ma, J.1    Zeng, D.2    Chen, H.3
  • 6
    • 0002432565 scopus 로고
    • Multivariate adaptative regression splines
    • J. Friedman, "Multivariate Adaptative Regression Splines", In Annals of Statistics, 1991, pp. 1-19.
    • (1991) Annals of Statistics , pp. 1-19
    • Friedman, J.1
  • 9
    • 84950771789 scopus 로고
    • Estimating optimal transformations for multiple regression and correlation
    • L. Breiman, J. Friedman, (1985). "Estimating Optimal Transformations for Multiple Regression and Correlation.", J. Amer. Statist. Assoc. 80, 580.
    • (1985) J. Amer. Statist. Assoc. , vol.80 , pp. 580
    • Breiman, L.1    Friedman, J.2
  • 10
    • 77950261294 scopus 로고    scopus 로고
    • Regression tree models for designed experiments
    • W.Y. Loh, "Regression Tree Models For Designed Experiments", Second Lehmann Symposium, Knowledge, 2006, pp. 210-228.
    • (2006) Second Lehmann Symposium, Knowledge , pp. 210-228
    • Loh, W.Y.1
  • 12
    • 38049156714 scopus 로고    scopus 로고
    • A simple regression based heuristic for learning model trees
    • C. Vens, H. Blockeel, "A Simple Regression Based Heuristic for Learning Model Trees", Intelligent Data Analysis, 10(3), 2006, pp. 215-236.
    • (2006) Intelligent Data Analysis , vol.10 , Issue.3 , pp. 215-236
    • Vens, C.1    Blockeel, H.2
  • 13
    • 7444225884 scopus 로고    scopus 로고
    • Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes
    • Foundations of Intelligent Systems- 14th International Symposium, ISMIS 2003 Maebashi City, Japan, October 28-31, 2003 Proceedings
    • M. Ceci, A. Appice, D. Malerba, "Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes", Foundations of Intelligent Systems, 14th International Symposium volume 2871 of LNAI, 2003, pp. 49-56. (Pubitemid 37331854)
    • (2003) LECTURE NOTES IN COMPUTER SCIENCE , Issue.2871 , pp. 49-56
    • Ceci, M.1    Appice, A.2    Malerba, D.3
  • 14
    • 0000051984 scopus 로고
    • Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation
    • R. Engle, "Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of United Kingdom Inflation", Econometrica, 50, 1982, pp. 987-1007.
    • (1982) Econometrica , vol.50 , pp. 987-1007
    • Engle, R.1
  • 15
    • 0000375581 scopus 로고
    • Conditionally heteroskedastic time series model for speculative prices and rates of return
    • T. Bollerslev, A. "Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return", Review of Economics and Statistics, 69, 1987, pp. 542-547.
    • (1987) Review of Economics and Statistics , vol.69 , pp. 542-547
    • Bollerslev, A.T.1
  • 18
    • 84979347114 scopus 로고    scopus 로고
    • Highest-density forecast regions for non-linear and non-normal time series models
    • R. Hyndman, "Highest-density Forecast Regions for Non-linear and Non-normal Time Series Models", Journal of Forecasting, 14, 1996.
    • (1996) Journal of Forecasting , vol.14
    • Hyndman, R.1
  • 19
  • 22
    • 58449125360 scopus 로고    scopus 로고
    • A data mining approach to predict forest fires using meteorological data
    • J. Neves M. F. Santos and J. Machado Eds. New Trends in Artificial Intelligence
    • F. Cortez, R.D. Morais, "A Data Mining Approach to Predict Forest Fires using Meteorological Data", In J. Neves M. F. Santos and J. Machado Eds. New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007-Portuguese Conference on Artificial Intelligence, 2007, pp. 512-523.
    • (2007) Proceedings of the 13th EPIA 2007-Portuguese Conference on Artificial Intelligence , pp. 512-523
    • Cortez, F.1    Morais, R.D.2
  • 26
    • 70350649252 scopus 로고    scopus 로고
    • Accurate decision trees for mining high-speed data streams
    • J. Gama, R. Rocha, P. Medas, B. Wah, J. Wang, "Accurate Decision Trees for Mining High-speed Data Streams", KDD 2003, 2003, pp. 523-528.
    • (2003) KDD 2003 , pp. 523-528
    • Gama, J.1    Rocha, R.2    Medas, P.3    Wah, B.4    Wang, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.