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 …

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 …

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 …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

Sequential pattern mining is an important data mining problem with broad applications. It is
challenging since one may need to examine a combinatorially explosive number of possible …

Sequential pattern mining is an important data mining problem with broad applications.
However, it is also a difficult problem since the mining may have to generate or examine a …

We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge
discovery from databases. EPs are defined as itemsets whose supports increase …

Association rules are commonly used to provide decision‐makers with knowledge that helps
them to make good decisions. Most of the published proposals mine association rules …

Abstract Weak isosinglet Neutral Heavy Leptons (vm) have been searched for using data
collected by the DELPHI detector corresponding to 3.3× 10 6 hadronic Z 0 decays at LEP1 …

Previous studies have presented convincing arguments that a frequent pattern mining
algorithm should not mine all frequent patterns but only the closed ones because the latter …