Query caching and optimization in distributed mediator systems
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data mining: concepts and techniques
Data mining: concepts and techniques
Probe, count, and classify: categorizing hidden web databases
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Joint optimization of cost and coverage of query plans in data integration
Proceedings of the tenth international conference on Information and knowledge management
Quality-driven Integration of Heterogenous Information Systems
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A Scalable Algorithm for Answering Queries Using Views
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Using Probabilistic Information in Data Integration
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Optimizing Recursive Information-Gathering Plans
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Learning response time for WebSources using query feedback and application in query optimization
The VLDB Journal — The International Journal on Very Large Data Bases
Concept Hierarchy Based Text Database Categorization in a Metasearch Engine Environment
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Joint optimization of cost and coverage of query plans in data integration
Proceedings of the tenth international conference on Information and knowledge management
Mining coverage statistics for websource selection in a mediator
Proceedings of the eleventh international conference on Information and knowledge management
Optimizing Recursive Information Gathering Plans in EMERAC
Journal of Intelligent Information Systems
Effectively Mining and Using Coverage and Overlap Statistics for Data Integration
IEEE Transactions on Knowledge and Data Engineering
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Recent work in data integration has shown the importance of statistical information about the coverage and overlap of sources for efficient query processing. Despite this recognition there are no effective approaches for learning the needed statistics. The key challenge in learning such statistics is keeping the number of needed statistics low enough to have the storage and learning costs manageable. Naive approaches can become infeasible very quickly. In this paper we present a set of connected techniques that estimate the coverage and overlap statistics while keeping the needed statistics tightly under control. Our approach uses a hierarchical classification of the queries, and threshold based variants of familiar data mining techniques to dynamically decide the level of resolution at which to learn the statistics. We describe the details of our method, and present preliminary experimental results showing the feasibility of the approach.