Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/63891
Title: Data mining for combining forecasts in inventory management
Authors: Chan, CK 
Keywords: Information resources management
Information science reference
Library IS&T
Issue Date: 2005
Publisher: Idea Group Reference
Source: In M Khosrow-Pour (Ed.), Encyclopedia of information science and technology, p. 703-707. Hershey, PA: Idea Group Reference, 2005 How to cite?
Abstract: The traditional approach to forecasting involves choosing the forecasting method judged most appropriate of the available methods and applying it to some specific situations. The choice of a method depends upon the characteristics of the series and the type of application. The rationale behind such an approach is the notion that a “best” method exists and can be identified. Further that the “best” method for the past will continue to be the best for the future. An alternative to the traditional approach is to aggregate information from different forecasting methods by aggregating forecasts. This eliminates the problem of having to select a single method and rely exclusively on its forecasts.
URI: http://hdl.handle.net/10397/63891
ISBN: 159140794X (NetLibrary)
159140553X (print)
DOI: 10.4018/978-1-59140-553-5.ch123
Appears in Collections:Book Chapter

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