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Book details
File Size: 11.54 MB
Format: pdf
Print Length: 638 pages
Publisher: Wiley-IEEE Press; 3 edition (October 23, 2019)
Publication Date: October 23, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B07ZKW957S
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces
The revised and updated third edition ofData Miningcontains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author–a noted expert on the topic–explains the basic concepts, models, and methodologies that have been developed in recent years.
This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that:
– Explores big data and cloud computing
– Examines deep learning
– Includes information on convolutional neural networks (CNN)
– Offers reinforcement learning
– Contains semi-supervised learning and S3VM
– Reviews model evaluation for unbalanced data
Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
This book provides a single introductory source, organized in a systematic way, in which the authors direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. This new edition will introduce and expand on many topics, as well as include revised sections on software tools and data mining applications. Additional changes can also be found in an updated list of references for further study, and an extended list of problems and questions in each chapter.
Wiley-IEEE Press, 3rd Edition, 2020
Book details
File Size: 11.54 MB
Format: pdf
Print Length: 638 pages
Publisher: Wiley-IEEE Press; 3 edition (October 23, 2019)
Publication Date: October 23, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B07ZKW957S
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces
The revised and updated third edition ofData Miningcontains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author–a noted expert on the topic–explains the basic concepts, models, and methodologies that have been developed in recent years.
This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that:
– Explores big data and cloud computing
– Examines deep learning
– Includes information on convolutional neural networks (CNN)
– Offers reinforcement learning
– Contains semi-supervised learning and S3VM
– Reviews model evaluation for unbalanced data
Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
This book provides a single introductory source, organized in a systematic way, in which the authors direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. This new edition will introduce and expand on many topics, as well as include revised sections on software tools and data mining applications. Additional changes can also be found in an updated list of references for further study, and an extended list of problems and questions in each chapter.
Wiley-IEEE Press, 3rd Edition, 2020