Data Mining: Concepts, Models, Methods, and Algorithms - Couverture rigide

Kantardzic, Mehmed

 
9781119516040: Data Mining: Concepts, Models, Methods, and Algorithms
Couverture rigide
ISBN 10 : 1119516048 ISBN 13 : 9781119516040
Editeur : Wiley-IEEE Press, 2019

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

MEHMED KANTARDZIC, PHD, is a Professor in the Department of Computer Engineering and Computer Science (CECS) at the University of Louisville, and is Director of the Data Mining Lab and CECS Graduate Programs. He is a member of IEEE, ISCA, KAS, WSEAS, IEE, and SPIE.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Wiley-IEEE Press
Date d'édition
2019
Langue
anglais
ISBN 10 
1119516048
ISBN 13 
9781119516040
Reliure
Relié
Numéro d'édition
3
Nombre de pages
672
Coordonnées du fabricant
non disponible
Personne responsable
non disponible