City Libraries, City of Gold Coast

Data mining, concepts and techniques, Jiawei Han, Micheline Kamber

eng

Includes bibliographical references (p. 703-743) and index

illustrations

index present

non fiction

Data mining

electronic resource

bibliography

Jiawei Han, Micheline Kamber

The Morgan Kaufmann series in data management systems

concepts and techniques

The authors examine the principles and methods of data mining. Written from a database perspective, they offer the reader a theoretical orientation and practical instruction that can be applied directly to projects., Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data

specialized