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Making items suggestions in non online environments

Published: 15 February 2006 Publication History

Abstract

Practically all data mining techniques and especially association rules assume an on-line environment in order to operate; such as a web site or an electronic machine. Most businesses though as well as the largest part of current trade are still being made in the traditional off-line way, requiring the physical presence of both the customers and the products, leaving all similar applications unassisted from data mining techniques. In this work we describe a system for delivering items suggestions to customers, tailored for the application that for many initiated data mining research; namely supermarket data.

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Published In

cover image Guide Proceedings
AIKED'06: Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
February 2006
478 pages
ISBN:1112222339
  • Editors:
  • Pablo Luis Lopez Espi,
  • Jose M. Giron-Sierra,
  • A. S. Drigas

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 15 February 2006

Author Tags

  1. data mining
  2. indexing techniques
  3. offline sales
  4. supermarket data

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