Data Mining

Concepts, Models, Methods, and Algorithms de

Éditeur :

Wiley-IEEE Press


Paru le : 2019-10-23

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Description

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 of Data Mining contains 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.
Pages
672 pages
Collection
n.c
Parution
2019-10-23
Marque
Wiley-IEEE Press
EAN papier
9781119516040
EAN PDF
9781119515982

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
672
Taille du fichier
14899 Ko
Prix
138,15 €
EAN EPUB
9781119516071

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
672
Taille du fichier
23767 Ko
Prix
138,15 €

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