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

Kamber, Micheline

Pei, Jian

Han,Jiawei

Computer Science

Morgan Kaufmann

Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing data or information used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing and warehousing data. They then present information about data warehouses, online analytical processing (OLAP), and data cube technology. 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. Users from computer science students, application developers, business professionals, and researchers who seek information on data mining will find this resource very helpful.

Tong, Hanghang

Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.

Sequence Data Mining (Advances in Database Systems, 33)

Dong, Guozhu

Springer

This book provides balanced coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods.

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)

Graph Neural Networks for Natural Language Processing: A Survey (Foundations and Trends(r) in Machine Learning)

Chen, Yu

Long, Bo

Shen, Kai

Wu, Lingfei

Guo, Xiaojie

Gao, Hanning

Li, Shucheng

Now Publishers

Printed in Asia - Carries Same Contents as of US edition - Opt Expedited Shipping for 3 to 4 day delivery -

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Books by Pei, Jian

See the best price to sell, buy, or rent books by Pei, Jian. 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)

Sequence Data Mining (Advances in Database Systems, 33)

Sequence Data Mining (Advances in Database Systems, 33)

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

Graph Neural Networks for Natural Language Processing: A Survey (Foundations and Trends(r) in Machine Learning)

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