I2Apriori: An Improved Apriori Algorithm based on Infrequent Count

被引：0

作者：

Singh, Shyam Kumar ^{[1
]}

Kumar, Preetham ^{[1
]}

机构：

[1] Manipal Inst Technol, Informat & Commun Technol, Manipal, Karnataka, India

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年

关键词：

Association Rules; Apriori Algorithm; Infrequent Count; Two-way searching;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1281 / 1285

页数：5

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