SYNTHETIC DATA GENERATION METHOD

A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly samp...

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Bibliographic Details
Main Authors GROTHE ANDREAS, ROKACH LIOR, SWAMINATHAN RAHUL, CHIZI BARAK, MIMRAN DUDU, SHAPIRA BRACHA, BAR ARIEL
Format Patent
LanguageEnglish
Published 07.07.2016
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.
Bibliography:Application Number: US201514979625