Data Mining A Knowledge Discovery Approach

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through da...

Full description

Bibliographic Details
Main Authors: Cios, Krzysztof J., Pedrycz, Witold (Author), Swiniarski, Roman W. (Author), Kurgan, Lukasz Andrzej (Author)
Format: eBook
Published: New York, NY Springer US 2007, 2007
Edition:1st ed. 2007
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Data Mining and Knowledge Discovery Process
  • The Knowledge Discovery Process
  • Data Understanding
  • Data
  • Concepts of Learning, Classification, and Regression
  • Knowledge Representation
  • Data Preprocessing
  • Databases, Data Warehouses, and OLAP
  • Feature Extraction and Selection Methods
  • Discretization Methods
  • Data Mining: Methods for Constructing Data Models
  • Unsupervised Learning: Clustering
  • Unsupervised Learning: Association Rules
  • Supervised Learning: Statistical Methods
  • Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids
  • Supervised Learning: Neural Networks
  • Text Mining
  • Data Models Assessment
  • Assessment of Data Models
  • Data Security and Privacy Issues
  • Data Security, Privacy and Data Mining