Frequent pattern mining has been a focused theme in data mining research for over a
decade. Abundant literature has been dedicated to this research and tremendous progress …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

The field of data mining has become accustomed to specifying constraints on patterns of
interest. A large number of systems and techniques has been developed for solving such …

Utility mining is a new development of data mining technology. Among utility mining
problems, utility mining with the itemset share framework is a hard one as no anti …

We introduce a novel frequent pattern mining approach to discover leaders and tribes in
social networks. In particular, we consider social networks where users perform actions …

The relationship between constraint-based mining and constraint programming is explored
by showing how the typical constraints used in pattern mining can be formulated for use in …

With advances in technology, a flood of data can be produced in many applications such as
sensor networks and Web click streams. This calls for efficient techniques for extracting …

SSL/TLS is the most commonly deployed family of protocols for securing network
communications. The security guarantees of SSL/TLS are critically dependent on the correct …

Since its introduction, frequent-pattern mining has been the subject of numerous studies,
including incremental updating. Many existing incremental mining algorithms are Apriori …

Data clustering is a popular approach for automatically finding classes, concepts, or groups
of patterns. In practice, this discovery process should avoid redundancies with existing …