Decision-Guidance Management Systems (DGMS): Seamless Integration of Data Acquisition, Learning, Prediction and Optimization
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
A Decision Guidance Management System (DGMS) is a productivity platform for fast development of applications that require a closed-loop data acquisition, learning, pre- diction, and decision optimization. This paper introduces the DGMS concept, and the first DGMS data model with its query language, DG-SQL. The DGMS data model is an ex- tension of the relational model with probability distributions over a set of attributes as random variables. DG-SQL sup- ports a seamless integration of (1) querying the data collec- tion and construction of learning sets, (2) learning from the learning sets, using parameterized transformers and option- ally defining an estimation utility, such as sum of squares of errors, to be minimized; (3) probabilistic prediction and simulation, using expressions that involve random variables, such as expectation, variance and probability of a logical formula; and (4) stochastic or deterministic optimization, where search space is defined as a set of feasible non-deter- ministic query evaluations.
Alexander Brodsky, X. Sean Wang, "Decision-Guidance Management Systems (DGMS): Seamless Integration of Data Acquisition, Learning, Prediction and Optimization", HICSS, 2008, 2014 47th Hawaii International Conference on System Sciences, 2014 47th Hawaii International Conference on System Sciences 2008, pp. 71, doi:10.1109/HICSS.2008.114