A Simulation Query Language for Defining and Analyzing Uncertain Data

Susan M. Farley, Alexander Brodsky, and Chun-Hung Chen


Decision-guidance management systems, stochastic simulation, uncertain data, optimal computation budget allocation, database languages


In this paper we propose an extension of SQL with probability functions expressed through stochastic simulation, its canonical implementation and an efficient algorithm for top-k decisions. This paper is an extension of the poster paper “SimQL: Simulation-Based Decision Modeling Over Stochastic Databases” presented at the 2010 Decision Support System conference.

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