JOURNAL ARTICLE

Association Rule-Based Novel Incremental Updating Algorithm

Jian Hong Li

Year: 2011 Journal:   Advanced materials research Vol: 317-319 Pages: 1868-1871   Publisher: Trans Tech Publications

Abstract

This paper focuses on an important research topic in data mining (DM) which heavily replies on the association rules. In order to deal with the maintenance issues within the background of the static transaction database, there are some minor changes to minimum support and confidence coefficient. A novel algorithm based on incremental updated is proposed, which is termed as NIUA (Novel Incremental Updating Algorithm). IUA uses association rules to mining the database, aiming at finding the potential information or finding the reasons from massive data.

Keywords:
Association rule learning Database transaction Data mining Computer science Association (psychology) Affinity analysis Minor (academic) Algorithm Database

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
11
Refs
0.12
Citation Normalized Percentile
Is in top 1%
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Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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