Apriori Improved Algorithm and its Application in Tmall

DOI

10.2991/isrme-15.2015.36How to use a DOI?

Keywords

Data mining; Apriori Algorithm; Marketing Strategy; Tmall

Abstract

In view of the large data volume and fast update feature of Tmall transaction database, the original Apriori algorithm is not suitable for Tmall transaction data mining due to its frequent scan of the database, so improved the search efficiency of original Apriori algorithm combining Apriori nature, and applied it to the association rules extraction of Tmall alcohol commodities trading data. Finally obtain association rules based on the algorithm and put forward targeted marketing strategy.

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  - Jianhua Xiao
AU  - Shaoyu Luo
PY  - 2015/04
DA  - 2015/04
TI  - Apriori Improved Algorithm and its Application in Tmall
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 156
EP  - 160
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.36
DO  - 10.2991/isrme-15.2015.36
ID  - Xiao2015/04
ER  -