Design and development of an algorithm for mining rare item sets

Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies...

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Main Authors: Sharma, Sachin (Author), Bhatia, Shaveta (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2019-01-01.
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042 |a dc 
100 1 0 |a Sharma, Sachin  |e author 
100 1 0 |e contributor 
700 1 0 |a Bhatia, Shaveta  |e author 
245 0 0 |a Design and development of an algorithm for mining rare item sets 
260 |b Institute of Advanced Engineering and Science,   |c 2019-01-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13259 
520 |a Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list. Investigational results shows that novel methodology is more righteous and vigorous than the present systems. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Rare item set; Multiple Minimum Support Threshold; Apriori 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 13, No 1: January 2019; 41-47 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v13.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13259/10254 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13259/10254  |z Get fulltext