Association mining explores algorithms capable of detecting frequently co-occurring items in transactions. A transaction can be identified with a market basket--a list of items a customer pays for at the checkout desk. In this paper, we explore a framework for the detection of changes in the buying patterns, as affected by fashion, season, or the introduction of a new product. We present several versions of our algorithm and experimentally examine their behaviors in domains with gradually changing domains.
Published Date: May 2003
Registration: ISBN 978-1-57735-177-1
Copyright: Published by The AAAI Press, Menlo Park, California.