Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …

Sequences of events, items, or tokens occurring in an ordered metric space appear often in
data and the requirement to detect and analyze frequent subsequences is a common …

With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …

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 …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Boosting has become very popular in computer vision, showing impressive performance in
detection and recognition tasks. Mainly off-line training methods have been used, which …

Owing to important applications such as mining web page traversal sequences, many
algorithms have been introduced in the area of sequential pattern mining over the last …