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 …

Due to the rapid growth of resource sharing, distributed systems are developed, which can
be used to utilize the computations. Data mining (DM) provides powerful techniques for …

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 …

Database Management Systems Page 1 Database Management Systems 7 ^ Raghu
Ramakrishnan Page 2 DATABASE MANAGEMENT SYSTEMS Raghu Ramakrishnan …

Business intelligence is a broad category of applications and technologies for gathering,
providing access to, and analyzing data for the purpose of hel** enterprise users make …

Association rule discovery has emerged as an important problem in knowledge discovery
and data mining. The association mining task consists of identifying the frequent itemsets …

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 …

We introduce the problem of mining generalized association rules. Given a large database
of transactions, where each transaction consists of a set of items, and a taxonomy (is-a …

Up to now, many data mining and knowledge discovery methodologies and process models
have been developed, with varying degrees of success. In this paper, we describe the most …