Search results for: Ming-Jyh Hsieh
The VLDB Journal > 2008 > 17 > 4 > 683-702
IEEE Transactions on Knowledge and Data Engineering > 2007 > 19 > 11 > 1557 - 1570
Knowledge and Information Systems > 2005 > 7 > 2 > 158-178
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On-line analytical processing (OLAP) has become an important component in most data warehouse systems and decision support systems in recent years. In order to deal with the huge amount of data, highly complex queries and increasingly strict response time requirements, approximate query processing has been deemed a viable solution. Most works in this area, however, focus on the space efficiency and...
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Data cubes have become important components in most data warehouse systems and decision support systems. In such systems, users usually pose very complex queries to the online analytical processing (OLAP) system, and systems usually have to deal with a huge amount of data because of the large dimensionality of the sets; thus, approximating query processing has emerged as a viable solution. Specifically,...
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In this paper, a new mining capability, called mining of substitution rules, is explored. A substitution refers to the choice made by a customer to replace the purchase of some items with that of others. The mining of substitution rules in a transaction database, the same as that of association rules, will lead to very valuable knowledge in various aspects, including market prediction, user behaviour...
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