Authors: | Papakyriakopoulos, Dimitrios Doukidis, Georgios |
Issue Date: | 18-Aug-2011 |
Journal: | Advances in Decision Sciences |
Volume: | 2011 |
Abstract: | The out-of-shelf problem is among the most important retail problems. This work employs two different classification algorithms, C4.5 and nÄive 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 fou... |
ISSN: | 2090-3367 2090-3359 |
DOI: | 10.1155/2011/515978 |
URI: | https://uniwacris.uniwa.gr/handle/3000/2159 |
Type: | Article |
Department: | Department of Business Administration |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Articles / Άρθρα |
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