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The Morgan Kaufmann Series in Data Management Systems Ser.: Data Mining, Southeast Asia Edition by Jian Pei, Jiawei Han and Micheline Kamber (2006, Hardcover)

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DATA MINING: CONCEPTS AND TECHNIQUES, SECOND EDITION (THE MORGAN KAUFMANN SERIES IN DATA MANAGEMENT SYSTEMS) By Jiawei Han & Micheline Kamber & Jian Pei - Hardcover **Mint Condition**.

About this product

Product Identifiers

PublisherElsevier Science & Technology

ISBN-101558609016

ISBN-139781558609013

eBay Product ID (ePID)45420712

Product Key Features

Number of Pages800 Pages

Publication NameData Mining, Southeast Asia Edition

LanguageEnglish

SubjectIntelligence (Ai) & Semantics, Databases / Data Mining, Databases / General

Publication Year2006

FeaturesRevised

TypeTextbook

Subject AreaComputers

AuthorJian Pei, Jiawei Han, Micheline Kamber

SeriesThe Morgan Kaufmann Series in Data Management Systems Ser.

FormatHardcover

Dimensions

Item Height0.6 in

Item Weight60.1 Oz

Item Length9.3 in

Item Width7.5 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN2006-296324

Reviews"Now, for the first time, there is an outstanding text on data mining which covers the science as well as the process in a comprehensive manner and with great lucidity." --Laks Lakshmanan, Concordia University, on the 1st ed: The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery.Gregory Piatetsky-Shapiro, President, KDnuggets The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery. ?Hans-Peter Kriegel, University of Munich, Germany, "Now, for the first time, there is an outstanding text on data mining which covers the science as well as the process in a comprehensive manner and with great lucidity." --Laks Lakshmanan, Concordia University, on the 1st ed:, "Now, for the first time, there is an outstanding text on data mining which covers the science as well as the process in a comprehensive manner and with great lucidity." --Laks Lakshmanan, Concordia University, on the 1st ed: The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery. Gregory Piatetsky-Shapiro , President, KDnuggets The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery. - Hans-Peter Kriegel , University of Munich, Germany, "Jiawei, Micheline, and Jian give an encyclopedic coverage of all the related methods, from the classic topics of clustering and classification, to database methods (association rules, data cubes) to more recent and advanced topics (SVD/PCA , wavelets, support vector machines).. Overall, it is an excellent book on classic and modern data mining methods alike, and it is ideal not only for teaching, but as a reference book."- Christos Faloutsos, Carnegie Mellon University, The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery. Gregory Piatetsky-Shapiro, President, KDnuggets The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery. Hans-Peter Kriegel, University of Munich, Germany

IllustratedYes

Edition DescriptionRevised edition

Table Of Content1. Introduction 2. Data Preprocessing 3. Data Warehouse and OLAP Technology: An Overview 4. Data Cube Computation and Data Generalization 5. Mining Frequent Patterns, Associations, and Correlations 6. Classification and Prediction 7. Cluster Analysis 8. Mining Stream, Time-Series, and Sequence Data 9 Graph Mining, Social Network Analysis, and Multi-Relational Data Mining 10. Mining Object, Spatial, Multimedia, Text, and Web Data 11. Applications and Trends in Data Mining Appendix A: An Introduction to Microsoft's OLE DB for Data Mining

SynopsisOur 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. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site, Expanding and updating the premier professional reference on data mining concepts and techniques, the second edition of this comprehensive and state-of-the-art text combines sound theory with truly practical applications to prepare database practitioners and professionals for real-world challenges in the professional database field. Includes approximately 100 pages of new material., 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.

LC Classification NumberQA76.9 D343 H36 2006