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Warehousing and mining sales transaction data to generate summary information, customer profiles, and business rules has become increasingly important in ecommerce. Such summary information and rules have to be extracted from very large collections of transaction data gathered at many distributed sites. This is challenging data mining, both in terms of the magnitude of data involved, and the need to incrementally adapt the mined patterns and rules as new data is collected. This paper describesdoi:10.1109/coopis.1999.792171 dblp:conf/coopis/ChenDH99 fatcat:6bd6n4ssebcxfo4ivif2zxlcqm