Towards automated extraction of expert system rules from sales data for the semiconductor market

Jesús Emeterio Navarro-Barrientos, Hans Armbruster, Hongmin Li, Morgan Dempsey, Karl G. Kempf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Chip purchasing policies of the Original Equipment Manufacturers (OEMs) of laptop computers are characterized by probabilistic rules. The rules are extracted from data on products bought by the OEMs in the semiconductor market over twenty quarters. We present the data collected and a qualitative data mining approach to extract probabilistic rules from the data that best characterize the purchasing behavior of the OEMs. We validate and simulate the extracted probabilistic rules as a first step towards building an expert system for predicting purchasing behavior in the semiconductor market. Our results show a prediction score of approximately 95% over a one-year prediction window for quarterly data.

Original languageEnglish (US)
Title of host publicationAdvances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers
Pages421-432
Number of pages12
EditionPART 2
DOIs
StatePublished - Apr 10 2013
Event11th Mexican International Conference on Artificial Intelligence, MICAI 2012 - San Luis Potosi, Mexico
Duration: Oct 27 2012Nov 4 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7630 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Mexican International Conference on Artificial Intelligence, MICAI 2012
CountryMexico
CitySan Luis Potosi
Period10/27/1211/4/12

Keywords

  • data mining
  • expert systems
  • probabilistic rules
  • semiconductor markets
  • system learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Navarro-Barrientos, J. E., Armbruster, H., Li, H., Dempsey, M., & Kempf, K. G. (2013). Towards automated extraction of expert system rules from sales data for the semiconductor market. In Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers (PART 2 ed., pp. 421-432). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7630 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-37798-3_37