FlexSCAPE: Data Driven Hypothesis Testing and Generation System

The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of informati...

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Bibliographic Details
Main Authors WANG JIJUN, FAULKNER ELI T, FRAZER DURBAN A, JEAN ERIC N, MCGOWAN MICHAEL THOMAS, VAIDYANATHAN AKHILESWAR GANESH, ASKREN JAY DEE, THOMAS MANI, HAMPLE DAVID LOUIS, BOEHMLER ALBERT JOSEF
Format Patent
LanguageEnglish
Published 19.07.2012
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The present invention relates to a method for generating hypotheses automatically from graphical models built directly from data. The method of the present invention links three key scientific concepts to enable hypothesis generation from data driven hypothesis-models: including the use of information theory based measures to identify informative feature subsets within the data; the automatic generation of graphical models from the informative data subsets identified from step one; and the application of optimization methods to graphical models to enable hypothesis generation. The integration of these three concepts can enable scalable approaches to hypothesis generation from large, complex data environments. The use of graphical models as the model representation can allow prior knowledge to be effectively integrated into the modeling environment.
Bibliography:Application Number: US20100862657