Big-Data Analytics for Cloud, IoT and Cognitive Computing /
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning an...
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| Language: | eng |
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Chichester, UK ; Hoboken, NJ : John Wiley & Sons,
2017
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| _version_ | 1826466263440818176 |
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| author | Hwang, Kai, author Chen, Min, 1980-, author |
| author_facet | Hwang, Kai, author Chen, Min, 1980-, author |
| author_sort | Hwang, Kai, author |
| collection | OCEAN |
| description | The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems |
| first_indexed | 2024-03-05T15:46:22Z |
| format | |
| id | KOHA-OAI-TEST:545109 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T15:46:22Z |
| publishDate | 2017 |
| publisher | Chichester, UK ; Hoboken, NJ : John Wiley & Sons, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5451092020-12-19T17:20:35ZBig-Data Analytics for Cloud, IoT and Cognitive Computing / Hwang, Kai, author Chen, Min, 1980-, author Chichester, UK ; Hoboken, NJ : John Wiley & Sons,2017engThe definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systemsIncludes bibliographical references and indexBig data science and machine intelligence -- Smart clouds, virtualization and mashup services -- IoT sensing, mobile and cognitive systems -- Supervised machine learning algorithms -- Unsupervised machine learning and choices of algorithms -- Deep learning with artificial neural networks -- Programming with hadoop, spark and tensorflow -- Machine learning over big data in healthcare applications -- Reinforcement deep learning and social media analyticsThe definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systemsPSZJBL Cloud computingBig dataArtificial intelligenceInternet of thingsURN:ISBN:9781119247029 |
| spellingShingle | Cloud computing Big data Artificial intelligence Internet of things Hwang, Kai, author Chen, Min, 1980-, author Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title | Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title_full | Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title_fullStr | Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title_full_unstemmed | Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title_short | Big-Data Analytics for Cloud, IoT and Cognitive Computing / |
| title_sort | big data analytics for cloud iot and cognitive computing |
| topic | Cloud computing Big data Artificial intelligence Internet of things |
| work_keys_str_mv | AT hwangkaiauthor bigdataanalyticsforcloudiotandcognitivecomputing AT chenmin1980author bigdataanalyticsforcloudiotandcognitivecomputing |