Applied Data Mining.

Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Xu, Guandong
Format: Electronic eBook
Language:Inglés
Published: CRC Press (an imprint of Taylor & Francis), 2013.
Subjects:
Data mining.
Data Mining
Exploration de données (Informatique)
Datenanalyse
Datenaufbereitung
Datenmanagement
Big Data
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part I. Fundamentals
  • 1. Introduction
  • 2. Mathematical foundations
  • 3. Data preparation
  • 4. Clustering analysis
  • 5. Classification
  • 6. Frequent pattern mining
  • part II. Advanced data mining
  • 7. Advanced clustering analysis
  • 8. Multi-label classification
  • 9. Privacy preserving in data mining
  • part III. Emerging applications
  • 10. Data stream
  • 11. Recommendation systems
  • 12. Social tagging systems.

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