B. Ramasubbareddy

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Association rule mining is one of the most popular data mining techniques to find associations among items in a set by mining necessary patterns in a large database. Typical association rules consider only items enumerated in transactions. Such rules are referred to as positive association rules. Negative association rules also consider the same items, but(More)
Most of the work in Association rule mining considers items enumerated in transactions and generates positive association rules. To capture dissociations among the items, the notion of negative association rule was latter introduced by considering negated items along with items present in the transactions. Negative association rules are useful in(More)
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