Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification

Abstract

The Probabilities, Expert System, Knowledge, and Inference (PESKI) System uses the data mining of association rules to fill incompleteness in the knowledge of an expert system. The rules are mined from transactional data sources and then incorporated using an existing link to PESKI. One method of providing a system that will easily allow new data sources to be added is using an information gathering agent-based system. This research first develops a methodology for designing and creating a multi-agent system. It then applies this methodology to design a platform independent means of data mining data sources of any format. The use of agents allows a format specific agent to be used for every data source. The system performs the data mining, then unifies the association rules to present one list of unique results to the parent application.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA361641

Entities

People

  • Christopher G. Marks

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Analysis
  • Data Mining
  • Databases
  • Expert Systems
  • Information Retrieval
  • Information Systems
  • Local Area Networks
  • Multiagent Systems
  • Network Science
  • Ontologies
  • Operating Systems
  • Semantic Models

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML