Research on the Structure of Computer Interaction Hash Algorithm for Mining

DOI

10.2991/iccsae-15.2016.48How to use a DOI?

Keywords

data mining data; association rule mining; frequent pattern mining; interactive mining

Abstract

The association rule mining is one of the main technical data mining, the existing association rule mining algorithms based on support - confidence framework, there are many issues of double counting and traversing the database when the user adjusts the threshold. The paper maintains support for the associated threshold rule changes the problem, association rule mining algorithm interaction HIUA, the algorithm improves the pruning process of the original IUA algorithm, and improve the operating efficiency of the algorithm by Hash structure. UCI datasets experimental results and their actual financial data set showed that: in the process of support threshold changes in HIUA algorithm further use of existing mining results, effectively improve the efficiency of mining association rules.

Copyright

© 2016, 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  - Zhu Zhao
PY  - 2016/02
DA  - 2016/02
TI  - Research on the Structure of Computer Interaction Hash Algorithm for Mining
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 249
EP  - 253
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.48
DO  - 10.2991/iccsae-15.2016.48
ID  - Zhao2016/02
ER  -