Titlebook: Big Data Analytics in the Social and Ubiquitous Context; 5th International Wo Martin Atzmueller,Alvin Chin,Christoph Trattner Conference pr

Nerve-Block

Formation and Temporal Evolution of Social Groups During Coffee Breaks,e-to-face proximity. We first analyze statistical properties of group evolution, e.g., individual activity and typical group sizes. After that, we define a set of specific group evolution events. These are analyzed in the context of an academic conference, where we provide different patterns accordi

无脊椎

A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series, introduces a method for discovering . in smart water meter time series. Habits are household activities that recur in a predictable way, such as watering the garden at 6 am twice a week. Discovering habit patterns automatically is a challenging data mining task. Habit patterns are not only periodic

Antagonism

RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones,per investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope. In this study we describe the conducted experiments with data from the time domain, frequency domain and wavelet transformation, and a method to reduce the effects of speed,

尊重

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization,ent fields like social sciences, urbanism or geography. With the increasing number of probes tracking human locations, like RFID pass for urban transportation, road sensors, CCTV systems or cell phones, mobility data are exponentially growing. Mining the activity logs in order to model and character