H.3.14. Knowledge Management
A New Algorithm for High Average-utility Itemset Mining

A. Soltani; M. Soltani

Volume 7, Issue 4 , November 2019, , Pages 537-550

http://dx.doi.org/10.22044/jadm.2019.7483.1893

Abstract
  High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its ...  Read More

H.3.14. Knowledge Management
Introducing an algorithm for use to hide sensitive association rules through perturb technique

M. Sakenian Dehkordi; M. Naderi Dehkordi

Volume 4, Issue 2 , July 2016, , Pages 219-227

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.02.10

Abstract
  Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on ...  Read More