Digital Symposium Collection 2000

Scalable Classification over SQL Databases S. Chaudhuri, U. Fayyad,, and J. Bernhardt   View Paper (PDF)   Return to Session 14: Data Warehousing Abstract We identify data-intensive operations that are common to classifiers and develop a middleware that decomposes and schedules these operations efficiently using a backend SQL database. Our approach has the added advantage of not requiring any specialized physical data organization. We demonstrate the scalability characteristics of our enhanced client with experiments on Microsoft SQL Server 7.0 by varying data size, number of attributes and characteristics of decision trees. Copyright(C) 2000 ACM