Modeling Human Mobility Behavior-Patterns - Prof. Irad Ben-Gal
Автор: Data Science Summit
Загружено: 2018-08-20
Просмотров: 442
Описание: In recent years, personal location data is continuously captured by mobile devices, GPS chips and other sensors. Such data provides a unique learning opportunity on individuals’ mobility behavior that may be used for various applications in transportation, marketing, homeland security and smart cities. Nonetheless, modeling such data poses new challenges related to data volume, diversity, inhomogeneity, descriptiveness and the required granularity level. In this talk, we will address a real ‘smart city’ use-case and cover some of its associated modeling opportunities and challenges. We will present a new mobility-behavior model that generalizes Variable-Order Bayesian Networks. We will discuss how this model can be used in different smart city applications such as pattern recognition, anomaly detection, clustering and classification.
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