Mining information and knowledge from large databases has been recognized by many
researchers as a key research topic in database systems and machine learning, and by …

Mining Very Large Databases with Parallel Processing addresses the problem of large-
scale data mining. It is an interdisciplinary text, describing advances in the integration of …

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 …

Mining frequent patterns in transaction databases, time-series databases, and many other
kinds of databases has been studied popularly in data mining research. Most of the previous …

Data mining is the discovery of interesting, unexpected or valuable structures in large
datasets. As such, it has two rather different aspects. One of these concerns large …

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 …

Discovery of association rules is an important problem in database mining. In this paper we
present new algorithms for fast association mining, which scan the database only once …

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 …

One of the most well-studied problems in data mining is mining for association rules in
market basket data. Association rules, whose significance is measured via support and …

Today there are several efficient algorithms that cope with the popular and computationally
expensive task of association rule mining. Actually, these algorithms are more or less …