Please use this identifier to cite or link to this item:
|Title:||A histogram-based selectivity estimator for skewed XML data||Authors:||Li, H.
|Issue Date:||2005||Citation:||Li, H.,Lee, M.L.,Hsu, W. (2005). A histogram-based selectivity estimator for skewed XML data. Lecture Notes in Computer Science 3588 : 270-279. ScholarBank@NUS Repository.||Abstract:||The optimization of XML queries requires an accurate and compact structure to capture the characteristics of the underlying data. A compact structure works well when the data is uniformly distributed and has many common paths. However, more detailed information needs to be maintained when the data is skewed. This work presents a histogram-based structure to capture the distribution of skewed XML data. It builds upon a statistical method to estimate the result size of XML queries. Experiment results indicate that the proposed method leads to a more accurate estimation. © Springer-Verlag Berlin Heidelberg 2005.||Source Title:||Lecture Notes in Computer Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/40929||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 28, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.