A Regression Dependent Iterative Algorithm for Optimizing Top-K Selection in Simulation Query Language

In this paper the authors propose an extension of the algorithm General Optimal Regression Budget Allocation ScHeme (GORBASH) for iteratively optimizing simulation budget allocation while minimizing the total processing cost for top-k queries. They also implement this algorithm as part of SimQL: an extension of SQL that includes probability functions expressed through stochastic simulation.

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Year of publication:	2012
Authors:	Farley, Susan ; Brodsky, Alexander ; Chen, Chun-Hung
Published in:	International Journal of Decision Support System Technology (IJDSST). - IGI Global, ISSN 1941-6296. - Vol. 4.2012, 3, p. 12-24
Publisher:	IGI Global

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Extent:	application/pdf
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010832607