TY  - JOUR
T1  - A New Approach Towards Item Set Mining Using Distribution Model
AU - P. Mathai, Paul AU - V. Sivabalan, R. 
JO  - International Journal of Soft Computing
VL  - 11
IS  - 3
SP  - 155
EP  - 159
PY  - 2016
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2016.155.159
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2016.155.159
KW  - Data mining
KW  -Knowledge Discovery Database (KDD)
KW  -itemsets
KW  -utility
KW  -frequency
AB  - Data mining can be defined as an activity that extracts some new nontrivial information contained in large databases. Traditional data mining techniques have focused largely on detecting the statistical correlations between the items that are more frequent in the transaction databases. Generally, several applications are using data mining in different fields like medical, marketing and so on. Numerous methods and techniques have been developed for mining the information from the databases. In this study, we propose a new approach for itemset mining on utility and frequency using distribution model and association rule mining based research works.
ER  -