The task of finding correlations between items in a dataset, association mining, has received
considerable attention over the last decade. This article presents a survey of association …

This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …

This chapter will provide a detailed survey of frequent pattern mining algorithms. A wide
variety of algorithms will be covered starting from Apriori. Many algorithms such as Eclat …

The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets,
yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper …

As data mining techniques are being increasingly applied to non-traditional domains,
existing approaches for finding frequent itemsets cannot be used as they cannot model the …

A number of vertical mining algorithms have been proposed recently for association mining,
which have shown to be very effective and usually outperform horizontal approaches. The …

We present a new algorithm for mining maximal frequent itemsets from a transactional
database. Our algorithm is especially efficient when the itemsets in the database are very …

Mining frequent trees is very useful in domains like bioinformatics, web mining, mining
semistructured data, and so on. We formulate the problem of mining (embedded) subtrees in …

Computational techniques that build models to correctly assign chemical compounds to
various classes of interest have many applications in pharmaceutical research and are used …

The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets,
yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper …