Statistical synopses for graph-structured XML databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Estimating Answer Sizes for XML Queries
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Estimating the Selectivity of XML Path Expressions for Internet Scale Applications
Proceedings of the 27th International Conference on Very Large Data Bases
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
Selectivity Estimation for XML Twigs
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
XPathLearner: an on-line self-tuning Markov histogram for XML path selectivity estimation
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A statistical approach for XML query size estimation
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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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.