Multi-Level Association Rule Mining: A Review

Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 3

Abstract

Association rule mining is the most popular technique in the area of data mining. The main task of this technique is to find the frequent patterns by using minimum support thresholds decided by the user. The Apriori algorithm is a classical algorithm  among association rule mining techniques. This algorithm is inefficient because it scans the database many times. Second, if the database is large, it takes too much time to scan the database. For many cases, it is difficult to discover association rules among the objects at low levels of abstraction. Association rules among various item sets of  databases can be found at various levels of abstraction. Apriori algorithm does not mine the data on multiple levels of abstraction. Many algorithms in literature discussed this problem. This paper presents the survey on multi-level association rules and mining algorithms .

Authors and Affiliations

Sonia Setia , Dr. Jyoti

Keywords

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  • EP ID EP104557
  • DOI -
  • Views 103
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How To Cite

Sonia Setia, Dr. Jyoti (2013). Multi-Level Association Rule Mining: A Review. INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY, 6(3), 166-170. https://europub.co.uk/articles/-A-104557