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Efficient approximation of optimization queries under parametric aggregation constraints

Published: 09 September 2003 Publication History

Abstract

We introduce and study a new class of queries that we refer to as OPAC (optimization under parametric aggregation constraints) queries. Such queries aim to identify sets of database tuples that constitute solutions of a large class of optimization problems involving the database tuples. The constraints and the objective function are specified in terms of aggregate functions of relational attributes, and the parameter values identify the constants used in the aggregation constraints.
We develop algorithms that preprocess relations and construct indices to efficiently provide answers to OPAC queries. The answers returned by our indices are approximate, not exact, and provide guarantees for their accuracy. Moreover, the indices can be tuned easily to meet desired accuracy levels, providing a graceful tradeoff between answer accuracy and index space. We present the results of a thorough experimental evaluation analyzing the impact of several parameters on the accuracy and performance of our techniques. Our results indicate that our methodology is effective and can be deployed easily, utilizing index structures such as R-trees.

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cover image DL Hosted proceedings
VLDB '03: Proceedings of the 29th international conference on Very large data bases - Volume 29
September 2003
1134 pages

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  • VLDB Endowment: Very Large Database Endowment

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VLDB Endowment

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Published: 09 September 2003

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VLDB '03
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VLDB '03: Very large data bases
September 9 - 12, 2003
Berlin, Germany

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  • (2015)Top-k representative queries with binary constraintsProceedings of the 27th International Conference on Scientific and Statistical Database Management10.1145/2791347.2791367(1-10)Online publication date: 29-Jun-2015
  • (2014)Approximation schemes for many-objective query optimizationProceedings of the 2014 ACM SIGMOD International Conference on Management of Data10.1145/2588555.2610527(1299-1310)Online publication date: 18-Jun-2014
  • (2011)Semi-skyline optimization of constrained skyline queriesProceedings of the Twenty-Second Australasian Database Conference - Volume 11510.5555/2460396.2460400(7-16)Online publication date: 17-Jan-2011
  • (2011)Evaluation of set-based queries with aggregation constraintsProceedings of the 20th ACM international conference on Information and knowledge management10.1145/2063576.2063791(1495-1504)Online publication date: 24-Oct-2011
  • (2008)Reasoning with qualitative preferences and cardinalities using generalized circumscriptionProceedings of the Eleventh International Conference on Principles of Knowledge Representation and Reasoning10.5555/3031661.3031729(560-570)Online publication date: 16-Sep-2008
  • (2007)Efficient processing of relational queries with sum constraintsProceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management10.5555/1769708.1769766(440-451)Online publication date: 16-Jun-2007
  • (2006)Database support for matchingProceedings of the 2006 ACM SIGMOD international conference on Management of data10.1145/1142473.1142484(85-96)Online publication date: 27-Jun-2006
  • (2005)RankSQLProceedings of the 2005 ACM SIGMOD international conference on Management of data10.1145/1066157.1066173(131-142)Online publication date: 14-Jun-2005
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