CCE Faculty Articles
Index Selection: A Query Pattern Mining Based Approach
Document Type
Article
Publication Title
Proceedings of the ACM 2013 Research in Adaptive and Convergent Systems
ISSN
978-1-4503-2348-2
Publication Date
10-2013
Abstract
Indexing technique has been used extensively in order to facilitate and optimize query processing in various data retrieval and storage systems. Although an index technique can be used to reduce searching cost in both horizontal and vertical dimensions, it incurs both storage and maintenance costs. Index selection has been an active research subject, and various index selection methods have been given in literature. This paper will present a framework to mine frequent query patterns to select most frequently used access paths as candidates for index selection, and a Bayesian based method will be used to select index fields from the candidate set.
DOI
10.1145/2513228.2513253
First Page
100
Last Page
106
NSUWorks Citation
Sun, Junping and Hong, Jiman, "Index Selection: A Query Pattern Mining Based Approach" (2013). CCE Faculty Articles. 509.
https://nsuworks.nova.edu/gscis_facarticles/509