Data mining tasks and methods: Classification: the goal of classification

  • Authors:

  • Hans-Hermann Bock

  • Affiliations:

  • Professor of Applied Statistics, Technical University of Aachen, Germany

  • Venue:
  • Handbook of data mining and knowledge discovery
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This article informally introduces the basic problems and approaches related to classification. It distinguishes three basic interpretations: classification systems, discrimination, and clustering. The essential steps of discrimination and clustering methods are outlined, including the preprocessing of data. The text establishes links to statistical approaches (such as prediction) and conceptual learning methods (such as decision trees), and illustrates the problems by practical examples.