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Classification Performance for Making Decisions about Products Missing from the Shelf
Joint Authors
Papakiriakopoulos, Dimitris
Doukidis, Georgios
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Economics & Business Administration
Business Administration
Abstract EN
The out-of-shelf problem is among the most important retail problems.
This work employs two different classification algorithms, C4.5 and naïve Bayes, in order to build a mechanism that makes decisions about whether a product is available on a retail store shelf or not.
Following the same classification methods and feature spaces, we examined the classification performance of the algorithms in four different retail chains and utilized ROC curves and the area under curve measure to compare the predictive accuracy.
Based on the results obtained for the different retail chains, we identified certain approaches for the development and introduction of such a mechanism in different retail contexts.
American Psychological Association (APA)
Papakiriakopoulos, Dimitris& Doukidis, Georgios. 2011. Classification Performance for Making Decisions about Products Missing from the Shelf. Advances in Decision Sciences،Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-477835
Modern Language Association (MLA)
Papakiriakopoulos, Dimitris& Doukidis, Georgios. Classification Performance for Making Decisions about Products Missing from the Shelf. Advances in Decision Sciences No. 2011 (2011), pp.1-13.
https://search.emarefa.net/detail/BIM-477835
American Medical Association (AMA)
Papakiriakopoulos, Dimitris& Doukidis, Georgios. Classification Performance for Making Decisions about Products Missing from the Shelf. Advances in Decision Sciences. 2011. Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-477835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477835