Data Mining The Textbook /

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types su...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Aggarwal, Charu C. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Subjects:
Data mining.
Pattern recognition systems.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Online Access:Texto Completo
Table of Contents:
  • Introduction to Data Mining
  • Data Preparation
  • Similarity and Distances
  • Association Pattern Mining
  • Association Pattern Mining: Advanced Concepts
  • Cluster Analysis
  • Cluster Analysis: Advanced Concepts
  • Outlier Analysis
  • Outlier Analysis: Advanced Concepts
  • Data Classification
  • Data Classification: Advanced Concepts
  • Mining Data Streams
  • Mining Text Data
  • Mining Time-Series Data
  • Mining Discrete Sequences
  • Mining Spatial Data
  • Mining Graph Data
  • Mining Web Data
  • Social Network Analysis
  • Privacy-Preserving Data Mining.

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