High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life
Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent …

Pattern discovery is at the core of numerous data mining tasks. Although many methods
focus on efficiency in pattern mining, they still suffer from the problem of choosing a …

High utility itemsets are sets of items having a high utility or profit in a database. Efficiently
discovering high utility itemsets plays a crucial role in real-life applications such as market …

Data mining is the study of how to extract information from data and express it as useful
knowledge. One of its most important subfields, pattern mining, involves searching and …

The emerging of ubiquitous computing technologies in recent years has given rise to a new
field of research consisting in incorporating context-aware preference querying facilities in …

It is widely recognized that the performances of frequent-pattern mining algorithms are
closely dependent on data being handled, ie, sparse or dense. The same situation applies …

In the literature, many works were interested in mining frequent patterns. Unfortunately,
these patterns do not offer the whole information about the correlation rate amongst the …

Condensed representations have been studied extensively for 15 years. In particular, the
maximal patterns of the equivalence classes have received much attention with very general …

Concise (or condensed) representations of frequent patterns follow the minimum description
length (MDL) principle, by providing the shortest description of the whole set of frequent …