Association Rule play very important role in recent scenario of data
mining. But we have only generated positive rule, negative rule also
useful in today data mining task. In this paper we are proposing “A new
method for generating all positive and negative Association Rules”
(NRGA).NRGA generates all association rules which are hidden when we
have applied Apriori Algorithm. For representation of Negative Rules we
are giving new name of this rules as like: CNR, ANR, and ACNR. In this
paper we are also modify Correlation coefficient (CRC) equation, so all
generate results are very promising. First we apply Apriori Algorithm
for frequent itemset generation and that is also generate positive
rules, after on frequent itemset we apply NRGA algorithm for all
negative rules generation and optimize generated rules using Genetic
Algorithm
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