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. Edition Notice: This is a genuine English-language edition printed for distribution outside the US. ISBN and cover design may differ from the US edition. Content is the same as the standard edition. Return Policy: • Returns accepted only in case of delivery of wrong edition or defective/damaged book within 30 days after the date of delivery. • No refunds or exchanges are permitted for International Editions as this is clearly stated in the listing. • In case of a return, the refund will be processed only through PayPal and will be subject to a 15% restocking fee. • The buyer is responsible for all return shipping costs. Return shipping costs will be paid only in case of a damaged book received. • Customers must request a Return Authorization Number from us before returning the item. A valid tracking number for the return shipment is required.