Patent Document ID: 9324034
Application ID: 13773247

Base Claim:
1. A method of generating data models in a communication system, comprising: applying machine learning techniques to generate a first family of classifier models using a boosted decision tree to describe a corpus of behavior vectors; computing an exclusive answer ratio for one or more nodes of the boosted decision tree; and determining which factors in the first family of classifier models have a high probability of enabling a mobile device to conclusively determine whether a mobile device behavior is not benign based on computed exclusive answer ratios.

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Claim 2:
2. The method of claim 1 , further comprising: applying the factors to the corpus of behavior vectors to generate a second family of classifier models that identify fewer data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is not benign; and generating a mobile device classifier based on the second family of classifier models.