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Volumn 63, Issue 1, 2014, Pages 417-420

Prediction of customer demands for production planning - Automated selection and configuration of suitable prediction methods

Author keywords

Pattern recognition; Predictive models; Production planning

Indexed keywords

PATTERN RECOGNITION; PLANNING; PRODUCTION CONTROL; PRODUCTION ENGINEERING; TIME SERIES;

EID: 84902548304     PISSN: 00078506     EISSN: 17260604     Source Type: Journal    
DOI: 10.1016/j.cirp.2014.03.106     Document Type: Article
Times cited : (28)

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    • Rule Induction for Forecasting Method Selection: Meta-Learning the Characteristics of Univariate Time Series
    • X. Wang, K. Smith-Miles, and R. Hyndman Rule Induction for Forecasting Method Selection: Meta-Learning the Characteristics of Univariate Time Series Neurocomputing 72 10-12 2009 2581 2594
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    • Wang, X.1    Smith-Miles, K.2    Hyndman, R.3
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    • Meta-Learning Approaches to Selecting Time Series Models
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    • Recurrence Plots for the Analysis of Complex Systems
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    • Marwan, N.1    Romano, M.C.2    Thiel, M.3    Kurths, J.4
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    • Automatic Time Series Forecasting: The Forecast Package for R
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    • Hyndman, R.J.1    Khandakar, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.