I2Apriori: An Improved Apriori Algorithm based on infrequent Count

Kumar, Preetham and Singh, Shyam Kumar (2016) I2Apriori: An Improved Apriori Algorithm based on infrequent Count. In: International Conference on Electrical, Electronics, and Optimization Techniques, 03/03/2016, D.M.I College of Engineering, Chennai, India.

[img] PDF
364.pdf - Published Version
Restricted to Registered users only

Download (268kB) | Request a copy


—In this paper, the proposed method reduces CPU computation time by reducing transaction scan. The Concept infrequent count is based on minimum threshold support and 2- way searching to reduce execution time during scanning of transaction is introduced in proposed method. There exist several data mining algorithms for finding association rules but one of the candidate generation algorithms named Apriori algorithm is considered for the proposed work.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: —Association Rules, Apriori Algorithm, Infrequent Count, Two-way searching.
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 20 Oct 2016 15:01
Last Modified: 20 Oct 2016 15:01
URI: http://eprints.manipal.edu/id/eprint/147317

Actions (login required)

View Item View Item