Data mining concepts, models, methods, and algorithms

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 r...

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Detalles Bibliográficos
Autor principal: Kantardzic, Mehmed (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Piscataway, NJ] : Hoboken, New Jersey : IEEE Press [2020]
Edición:Third edition
Colección:Wiley ebooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47128768*spi
Descripción
Sumario: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.
Descripción Física:1 recurso electrónico (xix, 639 páginas)
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.
ISBN:9781119516071
9781119515982
9781119516057
9781119516040