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 …

The age of big data is now coming. But the traditional data analytics may not be able to
handle such large quantities of data. The question that arises now is, how to develop a high …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

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

Deoxyribonucleic acid (DNA) is a biological macromolecule. Its main function is information
storage. At present, the advancement of sequencing technology had caused DNA sequence …

Next basket recommendation is a crucial task in market basket analysis. Given a user's
purchase history, usually a sequence of transaction data, one attempts to build a …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …

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 …