This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, …

For an analyst who is already familiar with data mining and who has expertise in data mining and statistics, this book gives details of Java Data Mining and its usage in developing data mining solutions.

A common sort of data-mining problem involves discovering unusual events hidden within massive amounts of data. This section is a discussion of the problem, including “Bonferroni’s Principle,” a …

It examines the data types to be mined, including relational, transactional, and data warehouse data, as well as complex data types such as time-series, sequences, data streams, spatiotemporal data, …

This guide, inspired by the principles found in the Morgan Kaufmann series on data management systems, provides a practical approach to designing and implementing a Java-based data mining …

Professionals in fast-changing industries use DATA MINING CONCEPTS AND TECHNIQUES THE MORGAN KAUFMANN eBooks to stay updated without committing to rigid learning schedules.

The process of discovering useful patterns from data must be automatic (or at least semi-automatic). Useful patterns allow us to make nontrivial predictions on new data.