Book annotation not available for this title.Title: Data MiningAuthor: Han, Jiawei/ Kamber, Micheline/ Pei, JianPublisher: Elsevier Science LtdPublication Date: 2011/06/22Number of Pages: 703Binding Type: HARDCOVERLibrary of Congress: 2011010635

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

Computers & Technology

Han, Jiawei

Kamber, Micheline

Pei, Jian

Computer Science

Morgan Kaufmann

Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases. Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and state-of-the-art coverage of data mining concepts and techniques. Each chapter functions as 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. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success. Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms. Classroom Features Available Online: - instructor's manual - course slides (in PowerPoint) - course supplementary readings - sample assignments and course projects * Offers a comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data. * Organized as a series of stand-alone chapters so you can begin anywhere and immediately apply what you learn. * Presents dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects. * Provides in-depth, practical coverage of essential data mining topics, including OLAP and data warehousing, data preprocessing, concept description, association rules, classification and prediction, and cluster analysis. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields.

Networking & Cloud Computing

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.

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

See the best price to sell, buy, or rent books by Kamber, Micheline. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Kamber, Micheline

See the best price to sell, buy, or rent books by Kamber, Micheline. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

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

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

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