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Processing frequent itemset discovery queries by division and set containment join operators
2003
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery - DMKD '03
SQL-based data mining algorithms are rarely used in practice today. Most performance experiments have shown that SQL-based approaches are inferior to main-memory algorithms. Nevertheless, database vendors try to integrate analysis functionalities to some extent into their query execution and optimization components in order to narrow the gap between data and processing. Such a database support is particularly important when data mining applications need to analyze very large datasets or when
doi:10.1145/882082.882089
dblp:conf/dmkd/Rantzau03
fatcat:3jmehcjs2bgrhpe45dchapx5qq