Real Time Data Analytics for Large Scale Sensor Data

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. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Produk Detail:

  • Author : Himansu Das
  • Publisher : Academic Press
  • Pages : 298 pages
  • ISBN : 0128182423
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKReal Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data
  • Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 31 August 2019
GET THIS BOOKReal-Time Data Analytics for Large Scale Sensor Data

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

Demand-based Data Stream Gathering, Processing, and Transmission

Demand-based Data Stream Gathering, Processing, and Transmission
  • Author : Jonas Traub
  • Publisher : BoD – Books on Demand
  • Release : 09 April 2021
GET THIS BOOKDemand-based Data Stream Gathering, Processing, and Transmission

This book presents an end-to-end architecture for demand-based data stream gathering, processing, and transmission. The Internet of Things (IoT) consists of billions of devices which form a cloud of network connected sensor nodes. These sensor nodes supply a vast number of data streams with massive amounts of sensor data. Real-time sensor data enables diverse applications including traffic-aware navigation, machine monitoring, and home automation. Current stream processing pipelines are demand-oblivious, which means that they gather, transmit, and process as much data

Gamification Framework for Sensor Data Analytics

Gamification Framework for Sensor Data Analytics
  • Author : Alexandra L'Heureux
  • Publisher : Unknown Publisher
  • Release : 24 June 2021
GET THIS BOOKGamification Framework for Sensor Data Analytics

Data in all of its form is becoming a central part of our existence. It is being captured in every facets of our everyday life: social media, pictures, smartphones, wearable devices, smart building etc. One of the main drivers of this Big Data Revolution is the Internet of Things, which enables inert objects to communicate through a multitude of sensors. The data amassed fuels a thirst for information, the extraction of such knowledge is rendered possible through data analytics techniques.

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
  • Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
  • Publisher : Springer
  • Release : 04 April 2016
GET THIS BOOKNew Horizons for a Data-Driven Economy

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores

Tributary

Tributary
  • Author : Yadid Ayzenberg
  • Publisher : Unknown Publisher
  • Release : 24 June 2021
GET THIS BOOKTributary

State of the art technology has made it possible to monitor various physiological signals for prolonged periods. Using wearable sensors, individuals can be monitored; sensor data can be collected and stored in digital format, transmitted to remote locations, and analyzed at later times. This technology may open the door to a multitude of exciting and innovative applications. We could learn the effects of the environment and of our day-to-day choices on our physiology. Does the number of hours we sleep

Frontiers in Massive Data Analysis

Frontiers in Massive Data Analysis
  • Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
  • Publisher : National Academies Press
  • Release : 03 September 2013
GET THIS BOOKFrontiers in Massive Data Analysis

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive

Apache Spark 2: Data Processing and Real-Time Analytics

Apache Spark 2: Data Processing and Real-Time Analytics
  • Author : Romeo Kienzler,Md. Rezaul Karim,Sridhar Alla,Siamak Amirghodsi,Meenakshi Rajendran,Broderick Hall,Shuen Mei
  • Publisher : Packt Publishing Ltd
  • Release : 21 December 2018
GET THIS BOOKApache Spark 2: Data Processing and Real-Time Analytics

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key Features Master the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and Scala Book Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and

Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence
  • Author : Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu
  • Publisher : Morgan Kaufmann
  • Release : 02 February 2017
GET THIS BOOKBig Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed

Handbook of Large-Scale Distributed Computing in Smart Healthcare

Handbook of Large-Scale Distributed Computing in Smart Healthcare
  • Author : Samee U. Khan,Albert Y. Zomaya,Assad Abbas
  • Publisher : Springer
  • Release : 03 September 2017
GET THIS BOOKHandbook of Large-Scale Distributed Computing in Smart Healthcare

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working