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Statistical Learning Techniques for Costing XML Queries

Summary: Comet provides XML query cost modeling via new simple-path statistics and system catalogs. It uses transform regression, not analytic formulas, to predict XML operator costs, enabling self-tuning as workloads evolve; validated on XNav with synthetic, benchmark, and real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9312
Venue
VLDB
Year
2005
Pagerank
8.3444649e-05
Overall Rank
2,667 | 81.47%
DOI
-

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Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0040465394
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
239 Holistic Twig Joins: Optimal XML Pattern Matching 2002 SIGMOD 0.00031581944
270 Fast Incremental Maintenance of Approximate Histograms 1997 VLDB 0.00029648047
1,045 Estimating the Selectivity of XML Path Expressions for Internet Scale Applications 2001 VLDB 0.00014451072
2,016 StatiX: Making XML Count 2002 SIGMOD 9.7892568e-05
3,421 Approximate XML Query Answers 2004 SIGMOD 7.1107127e-05
4,205 Mixed Mode XML Query Processing 2003 VLDB 6.354571e-05
5,019 Automated Statistics Collection in DB2 UDB 2004 VLDB 5.7492033e-05
5,642 Bloom Histogram: Path Selectivity Estimation for XML Data with Updates 2004 VLDB 5.3964761e-05
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