Association Mining in Gradually Changing Domains
Antonin Rozsypal, Miroslav Kubát · 2003
Association mining explores algorithms capable of de-tecting 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 detec-tion 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 ex-perimentally examine their behaviors in domains with gradually changing domains.