This data mining book han kamber pdf name is for sale. Purchase Data Mining: Concepts and Techniques – 3rd Edition. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets.
After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Sorry, this product is currently out of stock.
Sorry, we aren’t shipping this product to your region at this time. For more information on how to use . Personal information is secured with SSL technology. 2 What Is Data Mining? 3 What Kinds of Data Can Be Mined? 4 What Kinds of Patterns Can Be Mined?
5 Which Technologies Are Used? 6 Which Kinds of Applications Are Targeted? 3 Which Patterns Are Interesting? The text is supported by a strong outline.
The authors preserve much of the introductory material, but add the latest techniques and developments in data mining, thus making this a comprehensive resource for both beginners and practitioners. The focus is data—all aspects. The presentation is broad, encyclopedic, and comprehensive, with ample references for interested readers to pursue in-depth research on any technique. Some chapters cover basic methods, and others focus on advanced techniques. The structure, along with the didactic presentation, makes the book suitable for both beginners and specialized readers.