UOG ACM - Ebook Library

Data Mining Concepts and Techniques 2nd Edition By Han Kamber

Data Mining Concepts and Techniques 2nd Edition By Han Kamber
Book Name: Data Mining Concepts and Techniques
Author Name: Jiawei Han, Micheline Kamber
Edition: Second Edition
Publisher: Morgan Kaufmann
Pages: 357 Pages
Size: 2.94 MB
Type: Text Book
Format: pdf

Description

     The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it'€™s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge.

     Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply today'€™s most powerful data mining techniques to meet real business challenges.


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