Big data analytics for Internet of things / edited by Tausifa Jan Saleem, Mohammad Ahsan Chishti.
| Other author | Saleem, Tausifa Jan. |
| Other author | Chishti, Mohammad Ahsan. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Hoboken, NJ : Wiley, 2021. |
| Description | pages cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from IEEE Xplore Wiley Data and Cybersecurity eBooks Library |
| Subjects |
| Abstract | "Big Data Analytics is a briskly expanding research area spanning diverse fields. The efficacy of Big Data Analytics is found mainly in the domain of Internet of Things (IoT). The number of IoT devices is anticipated to amount to several billion in the next few years. This unpredictable growth in the number of devices connected to IoT and the exponential rise in data consumption manifest how the expansion of big data seamlessly coincides with that of IoT. The main objective of Big Data Analytics in IoT is to identify trends in the data, extract concealed information and to dig out valuable information from the raw data generated by IoT systems. This is crucial for dispensing elite services to IoT users. In this regard, investigating the recent technological advancements in the said area becomes indispensable."-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020049761 |
| ISBN | 9781119740759 (hardback) |
| ISBN | (adobe pdf) |
| ISBN | (epub) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |