A survey on Incremental association rule mining based on associative constraints

Authors

  • Hardik Dandvate Computer engineering department, Parul institute of engineering & technology, Limda, Gujarat, India

Keywords:

Association rules, support, confidence, Lift, conviction, Incremental algorithm

Abstract

In the field of data mining, association is one of the biggest sub area which finds the relation that are
closely associated with each other and it ruled over some basic rule mining constraints including min_sup and
confidence. These two constraints are mostly used in all of the algorithms for join and prune step but for those
dataset the join and prune steps becomes complicated to find the association rules, we have to consider the
probability based approximation for finding the actual frequent item and generates the strong association rules.
In this paper the detail survey focus on the Lift and conviction which are also the constraints of association rule
mining.

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Published

2016-05-25

How to Cite

Hardik Dandvate. (2016). A survey on Incremental association rule mining based on associative constraints. International Journal of Advance Research in Engineering, Science & Technology, 3(5), 215–219. Retrieved from https://ijarest.org/index.php/ijarest/article/view/623

Issue

Vol. 3 No. 5 (2016): Volume: 03, Issue: 05 - May, 2016.

Section

Articles