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 applications.
Specifically, it delves into the processes for uncovering patterns and
knowledge from massive collections of data, known as knowledge
discovery from data, or KDD. It focuses on the feasibility,
usefulness, effectiveness, and scalability of data mining techniques for
large data sets.
After an introduction to the concept of data mining, the authors explain
the methods for preprocessing, characterizing, and warehousing data.
They then partition the data mining methods into several major tasks,
introducing concepts and methods for mining frequent patterns,
associations, and correlations for large data sets; data classificcation
and model construction; cluster analysis; and outlier detection.
Concepts and methods for deep learning are systematically introduced as
one chapter. Finally, the book covers the trends, applications, and
research frontiers in data mining.