Data Mining : Practical Machine Learning Tools and Techniques, Second Edition.

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Witten, I. H. (Ian H.)
Autor Corporativo: ebrary, Inc
Otros Autores: Frank, Eibe
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Los Angeles : Elsevier Science & Technology Books ; Sony Electronics [distributor]
Colección:Data Mining, the Morgan Kaufmann Ser. in Data Management Systems Ser.
Temas:
Algoritmen.
Data mining.
Descoberta de conhecimento.
Exploration de données (Informatique).
Java (programmeertaal).
Machine-learning.
Mineração de dados.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Foreword; Preface; PART I: MACHINE LEARNING TOOLS AND TECHNIQUES; 1 What's it all about?; 2 Input: Concepts, instances, and attributes; 3 Output: Knowledge representation; 4 Algorithms: The basic methods; 5 Credibility: Evaluating what's been learned; 6 Implementations: Real machine learning schemes; 7 Transformations: Engineering the input and output; 8 Moving on: Extensions and applications; PART II: THE WEKA MACHINE LEARNING WORKBENCH; 9 Introduction to Weka; 10 The Explorer; 11 The Knowledge Flow Interface; 12 The Experimenter; 13 The Command-Line Interface
  • 14 Embedded machine learning15 Writing New Learning Schemes; References; Index; About the Authors

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