ACM Transactions on Database Systems (TODS)
Randomized algorithms for optimizing large join queries
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
A better approximation algorithm for the query optimization problem
CSC '94 Proceedings of the 22nd annual ACM computer science conference on Scaling up : meeting the challenge of complexity in real-world computing applications: meeting the challenge of complexity in real-world computing applications
Rapid bushy join-order optimization with Cartesian products
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Principles of Database and Knowledge-Base Systems: Volume II: The New Technologies
Access path selection in a relational database management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Fast, Randomized Join-Order Selection - Why Use Transformations?
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Multi-query Optimizer for Monet
BNCOD 17 Proceedings of the 17th British National Conferenc on Databases: Advances in Databases
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
ModParOpt: a modular query optimizer for multi-query parallel databases
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
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Query optimization has long been one of the prime research areas associated to the relational database model. Most of the research assumed that users would pose unrelated questions, at relatively large time intervals. Recently, however, applications were discovered where a database is issued a multitude of queries simultaneously, while the queries themselves are some how related to each other. One such application is data mining. The topic of the Ph.D. research presented in this paper is the study of formal systems that make multi query optimization -- independent of the database instance -- possible.