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 …

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 …

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 …

Introduction to Data Mining Page 1 CHAPTER 14 ■ ■ ■ 369 Introduction to Data Mining In
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …

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 …

Activity monitoring, a crucial task in many applications, is often conducted expensively using
video cameras. Effectively monitoring a large field by analyzing images from multiple …

Based on the intuition that frequent patterns can be used to predict the next few items that
users would want to access, sequential pattern mining-based next-items recommendation …

In this uncertain world, data uncertainty is inherent in many applications and its importance
is growing drastically due to the rapid development of modern technologies. Nowadays …

Regular pattern mining has been emerged as one of the promising sub-domains of data
mining by discovering patterns with regular occurrences throughout a complete database. In …