TY  - JOUR
T1  - GA Optimized Negative Association Rule Mining
AU - , Sanjeev Sharma AU - , Sudhir Sharma AU - , Jitendra Agrawal 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 1
SP  - 124
EP  - 128
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.124.128
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.124.128
KW  - Data mining
KW  -association rule mining
KW  -negative association rule
KW  -genetic algorithms
AB  - This study discusses the use of genetic algorithm in mining negative association rules. In general the rule generated by Association Rule Mining technique do not consider the negative occurrences of attributes in them, but by using Genetic Algorithms (GAs) over these rules the system can predict the rules which contains negative attributes. GA is used for this kind of knowledge discovery because of their ability to search globally and perform well in case of attributes interaction. Their strength is essentially due to updating of the whole population, consisting of normal case of individuals and worst case of individuals of the possible solution in an adaptive way.
ER  -