Marketing Recommendations with Association Rules for Retail Business

DOI

10.2991/ssemse-15.2015.596How to use a DOI?

Keywords

marketing recommendations, association rules

Abstract

This paper describes data mining and association rules algorithm related theories and proposes several specific and feasible marketing recommendations results for the supermarket business. The work shows that although some patterns do not have a relatively high degree of confidence-support rate, the profit generated is more interesting than those with high confidence-support. Thus, this method proves a certain rationality and superiority in using a weighted assessment of the profit for association rules analysis, and has strong promotional value in the actual business operations.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jian Chen
PY  - 2015/11
DA  - 2015/11
TI  - Marketing Recommendations with Association Rules for Retail Business
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 2343
EP  - 2346
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.596
DO  - 10.2991/ssemse-15.2015.596
ID  - Chen2015/11
ER  -