Finding Effective Item Assignment Plans with Weighted Item Associations Using A Hybrid Genetic Algor...
Finding Effective Item Assignment Plans with Weighted Item Associations Using A Hybrid Genetic Algorithm
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
By identifying useful relationships between massive datasets, association rule mining can provide new insights to decision-makers. Item assignment models based on association between items are used to place items in a retail or e-commerce environment to increase sales. However, existing models fail to combine these associations with item-specific i...
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Full title
Finding Effective Item Assignment Plans with Weighted Item Associations Using A Hybrid Genetic Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_c20d729a6d31498487f95c55ca1b8cd0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c20d729a6d31498487f95c55ca1b8cd0
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app11052209
