Induction over Large Data Bases.

Abstract

Techniques for discovering rules by induction from large collections of instances are developed. These are based on an iterative scheme for dividing the instances into two sets, only one of which needs to be randomly accessible. These techniques have made it possible to discover complex rules from data bases containing many thousand of instances. Results of several experiments using them are reported. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA074075

Entities

People

  • J. R. Quinlan

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Access Time
  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Chemical Compounds
  • Chemistry
  • Computer Science
  • Computers
  • Databases
  • Induction Systems
  • Iterations
  • Learning
  • Mass Spectrometers
  • Measurement
  • Pattern Recognition
  • Recognition
  • Training

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Systems Analysis and Design