Deutschetelekom Ag

Ariel Bar

Yuval Elovici

Lior Rokach

Bracha Shapira

Barak Chizi

Christoph Peylo

Dudu Mimran

Oleg Brodt

Andreas Grothe

Rahul Swaminathan

Stefan Zeidler

Moshe Unger

Andreas Rederer

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.

Synthetic data generation method

Growing community of inventors

Ashdod, Israel

Ariel Bar