In some situations, finding the rare association rule is of higher importance than the frequent
itemset. Unique rules represent rare cases, activities, or events in real-world applications. It …

Pattern mining methods describe valuable and advantageous items from a large amount of
records stored in the corporate datasets and repositories. While mining, literature has almost …

In this paper we have proposed an improved approach to extract rare association rules. The
association rules which involve rare items are called rare association rules. Mining rare …

Rare association rule mining is an imperative field of data mining that attempts to identify
rare correlations among the items in a database. Although numerous attempts pertaining to …

Rare association rule is an association rule consisting of rare items. It is difficult to mine rare
association rules with a single minimum support (minsup) constraint because low minsup …

Rare association rules correspond to rare, or infrequent, itemsets, as opposed to frequent
ones that are targeted by conventional pattern miners. Rare rules reflect regularities of local …

Most association rule mining techniques concentrate on finding frequent rules. However,
rare association rules are in some cases more interesting than frequent association rules …

Traditional association mining techniques are based on support-confidence framework,
which enable us to generate frequent rules based on frequent itemsets identified on a …

Problem statement: Frequent itemset mining is an important task in data mining to discover
the hidden, interesting associations between items in the database based on the user …

Association rule mining is the process of finding some relations among the
attributes/attribute values of huge database based on support value. Most existing …