INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES
Journal Title: Applied Computer Science - Year 2018, Vol 14, Issue 2
Abstract
Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mining offers a better alternative for intermittent demand forecasting since data mining methods are powerful techniques. This study contributes to the current literature by showing the benefit of using data mining methods for intermittent demand forecasting purpose by comprising mostly used data mining methods.
Authors and Affiliations
Gamze Ogcu KAYA, Ali TURKYILMAZ
Keywords
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- EP ID EP560543
- DOI 10.23743/acs-2018-11
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