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BDA 2017 PDF

131 Pages·2017·3.91 MB·English
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IoT Big Data Stream Mining Tutorial BDA 2017 Albert Bifet (@abifet), Gianmarco De Francisci Morales, Joao Gama and Wei Fan Outline 
 IoT Fundamentals of IoT Distributed • • Stream Mining Stream Mining • Distributed Stream • IoT Setting Processing Engines • Classification • Classification • Concept Drift • Regression • Regression Open Source Tools • • Clustering • Applications • Frequent Itemset Mining • Conclusions 2 IoT Fundamentals of Stream Mining Part I IoT Setting 4 INTERNET OF THINGS IoT: sensors and actuators connected by networks to computing systems. Gartner predicts 20.8 billion IoT devices by 2020. • IDC projects 32 billion IoT devices by 2020 • Applications IoT Analytics 6 Applications IoT Analytics 7 IoT versus Big Data 8 IoT Applications For Energy Management 9 IoT Applications For Connected/Smart Home 10

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IoT Big Data. Stream Mining. Tutorial. BDA 2017. Albert Bifet (@abifet), Gianmarco De Francisci Morales,. Joao Gama and Wei Fan IDC projects 32 billion IoT devices by 2020 .. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu: “A Framework for Clustering Evolving Data Streams”.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.