| 書目名稱 | Data Analytics for Internet of Things Infrastructure |
| 編輯 | Rohit Sharma,Gwanggil Jeon,Yan Zhang |
| 視頻video | http://file.papertrans.cn/263/262698/262698.mp4 |
| 概述 | Provides deployment of semantic technologies in Data Analysis along with the latest applications in Internet of Things.Familiarizes readers with the data analysis environment so they can apply it in I |
| 叢書名稱 | Internet of Things |
| 圖書封面 |  |
| 描述 | .This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | big data; data analytics; Business Intelligence; big data analytics; Big data with Hadoop; machine learni |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-33808-3 |
| isbn_softcover | 978-3-031-33810-6 |
| isbn_ebook | 978-3-031-33808-3Series ISSN 2199-1073 Series E-ISSN 2199-1081 |
| issn_series | 2199-1073 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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