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Battery Log Data Mining — Ramon Oliveira (Datart)

Battery life is critical for smart devices, but optimizing it requires cooperation from the entire software ecosystem. Wasteful software affects user perception about devices’ battery quality. Therefore, a large team within a producer of those smart devices is focused on identifying and correcting energy consumption bugs. Since the software ecosystem grows fast, that team faces a lot of suspect issues, from which only a small fraction turns out to be genuine. Our project aims to streamline energy-related bug processing in devices of the company and its partners, by automatically identifying anomalous behaviors related to battery drain using data mining and machine learning.


Ramon is a researcher at a Motorola funded project and co-founder of Datart, a data science consulting startup company. Ramon is an M.S. student at Unicamp working on Deep Learning and Prediction Uncertainty.