Data Mining: Concepts and Techniques 4th Edition (The Morgan Kaufmann Series in Data Management Systems)

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.