33,920 research outputs found

    Data analytics 2016: proceedings of the fifth international conference on data analytics

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    Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

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    Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

    Living and Working Abroad: An Analysis Through Personal Experience and Research

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    If you were to stop what you’re doing right now and someone was to give you a blank map of the world, how many countries would you be able to label? How many countries have you been to? If you had to pick 5 different locations for dream vacations, would you know how much it would cost? If you were required to move to a new location outside of your home country, where would you go, what should you consider before moving? Before starting my research, I was barely able to label all 50 states in my own country, let alone any other country around the world. Eager to learn, I dedicated my research to solving these questions. I’ve split my research into two parts. Part I include my first-hand experience of going from never leaving the United States to financing my travels to thirty countries in Europe in the most efficient way possible. Part II is a mix of research, and personal experience from Part I, on what to consider when looking to move abroad. Can a long-island college student finance his way across the world when he’s never left before? Through my thesis research, and first-hand experience, my successes and pitfalls, I can help others travel. I can help individuals learn from my method most efficient, and cost-effective way to travel the world. It will give a sense of direction and considerations when moving from the United States abroad
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