Multi-Level Association Rule Mining: A Review
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - December Issue 2013 by IJCTT Journal|
|Volume-6 Issue-3 |
|Year of Publication : 2013|
|Authors :Priya Iype|
Priya Iype"Multi-Level Association Rule Mining: A Review"International Journal of Computer Trends and Technology (IJCTT),V6(3):166-170 December Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
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.
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Keywords:-Data mining, Association rule mining algorithm, minimum support threshold, multiple scan, multi-level association rules.