Real-time data analytics for large scale sensor data / 
Volume editors, Himansu Das, Nilanjan Dey and Valentina Emilia Balas. 
 - First edition. 
 - xviii, 279 pages :  illustrations ;   24cm . 
 - Advances in ubiquitous sensing applications for healthcare ; )  ( Volume Six .
 - Advances in ubiquitous sensing applications for healthcare ;  v. 6. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Internet of Things in healthcare: smart devices, sensors, and systems related to diseases and health conditions / Irosha Jayatilleka and Malka N. Halgamuge -- Real-time data analytics in healthcare using the Internet of Things / Satya Narayan Sahu, Maheswata Moharana, Purna Chandra Prusti, Shanta Chakrabarty, Fahmida Khan and Subrat Kumar Pattanayak. 
<br/><br/> Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. 
<br/><br/><label>ISBN: </label>9780128182420 0128182423 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Real-time data processing.
<br/><br/><label>Dewey Class. No.: </label>004.33  / R288