@inproceedings{f69d50e13ef64acba238c60f26cf6fce,
title = "I2Apriori: An improved apriori algorithm based on infrequent count",
abstract = "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.",
author = "Singh, \{Shyam Kumar\} and Preetham Kumar",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 ; Conference date: 03-03-2016 Through 05-03-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICEEOT.2016.7754889",
language = "English",
series = "International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1281--1285",
booktitle = "International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016",
address = "United States",
}