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Introduction

  • Oded Maimon
  • Mark Last
Chapter
Part of the Massive Computing book series (MACO, volume 1)

Abstract

The traditional process of data analysis included the very important stage of data collection. An analyst (e.g., a statistician) used the available domain knowledge to select the variables to be collected. The number of variables selected was usually small and the collection of their values could be done manually (e.g., utilizing hand-written records or oral interviews). In the case of computer-aided analysis, the analyst had to enter the collected data into a statistical computer package or an electronic spreadsheet. Due to the high cost of data collection, people learned to make decisions based on limited information.

Keywords

Data Mining Feature Selection Mutual Information Bayesian Network Dimensionality Reduction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Oded Maimon
    • 1
  • Mark Last
    • 2
  1. 1.Tel-Aviv UniversityTel-AvivIsrael
  2. 2.University of South FloridaTampaUSA

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