Journal
DECISION SUPPORT SYSTEMS
Volume 57, Issue -, Pages 258-273Publisher
ELSEVIER
DOI: 10.1016/j.dss.2013.09.005
Keywords
Top-k query; Query-mapping; Query processing; Cost model; RDBMSs
Ask authors/readers for more resources
Top-k querying can significantly improve the performance of web-based business intelligence applications such as price comparison and product recommendation systems. Top-k retrieval involves finding a limited number of records in a relational database that are most similar to user-specified attribute-value pairs. This paper extends the cost-based query-mapping method for top-k retrieval by incorporating data skewness in range estimation. Experiments on real world and synthetic multi-attribute data sets show that incorporating data skewness provides a robust performance across different types of data sets, query sets, distance functions, and histograms. (C) 2013 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available