Big Data Analytics for Sensor Network Collected Intelligence

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  • Author : Hui-Huang Hsu
  • Publisher : Morgan Kaufmann
  • Pages : 326 pages
  • ISBN : 012809625X
  • Rating : /5 from reviews
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Download or Read online Big Data Analytics for Sensor Network Collected Intelligence full in PDF, ePub and kindle. this book written by Hui-Huang Hsu and published by Morgan Kaufmann which was released on 02 February 2017 with total page 326 pages. We cannot guarantee that Big Data Analytics for Sensor Network Collected Intelligence book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

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 BOOK Big 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

Business Intelligence and Big Data

Business Intelligence and Big Data
  • Author : Celina M. Olszak
  • Publisher : CRC Press
  • Release : 17 November 2020
GET THIS BOOK Business Intelligence and Big Data

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly

Predictive Intelligence Using Big Data and the Internet of Things

Predictive Intelligence Using Big Data and the Internet of Things
  • Author : Gupta, P.K.,Ören, Tuncer,Singh, Mayank
  • Publisher : IGI Global
  • Release : 28 December 2018
GET THIS BOOK Predictive Intelligence Using Big Data and the Internet of Things

With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using

Internet of Things and Big Data Analytics Toward Next Generation Intelligence

Internet of Things and Big Data Analytics Toward Next Generation Intelligence
  • Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
  • Publisher : Springer
  • Release : 14 August 2017
GET THIS BOOK Internet of Things and Big Data Analytics Toward Next Generation Intelligence

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms

Data Analytics for Smart Cities

Data Analytics for Smart Cities
  • Author : Amir Alavi,William G. Buttlar
  • Publisher : CRC Press
  • Release : 26 October 2018
GET THIS BOOK Data Analytics for Smart Cities

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect

Fog Data Analytics for IoT Applications

Fog Data Analytics for IoT Applications
  • Author : Sudeep Tanwar
  • Publisher : Springer Nature
  • Release : 25 August 2020
GET THIS BOOK Fog Data Analytics for IoT Applications

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the

Security in IoT Social Networks

Security in IoT Social Networks
  • Author : Fadi Al-Turjman,B.D. Deebak
  • Publisher : Academic Press
  • Release : 30 October 2020
GET THIS BOOK Security in IoT Social Networks

Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things
  • Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
  • Publisher : John Wiley & Sons
  • Release : 20 April 2021
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms,

Swarm Intelligence for Resource Management in Internet of Things

Swarm Intelligence for Resource Management in Internet of Things
  • Author : Aboul Ella Hassanien,Ashraf Darwish
  • Publisher : Academic Press
  • Release : 18 August 2020
GET THIS BOOK Swarm Intelligence for Resource Management in Internet of Things

Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource

Military Applications of Data Analytics

Military Applications of Data Analytics
  • Author : Kevin Huggins
  • Publisher : CRC Press
  • Release : 09 October 2018
GET THIS BOOK Military Applications of Data Analytics

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations—either government or industry—accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in military data analytics. These use cases explore such topics as: Context for maritime situation awareness Data analytics for electric power and energy

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
  • Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
  • Publisher : Academic Press
  • Release : 21 August 2018
GET THIS BOOK Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view

Data Science and Big Data Computing

Data Science and Big Data Computing
  • Author : Zaigham Mahmood
  • Publisher : Springer
  • Release : 05 July 2016
GET THIS BOOK Data Science and Big Data Computing

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
  • Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
  • Publisher : Springer
  • Release : 05 July 2019
GET THIS BOOK Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be

Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems
  • Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
  • Publisher : Elsevier
  • Release : 05 April 2017
GET THIS BOOK Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required

Big Data Analytics in Future Power Systems

Big Data Analytics in Future Power Systems
  • Author : Ahmed F. Zobaa,Trevor J. Bihl
  • Publisher : CRC Press
  • Release : 14 August 2018
GET THIS BOOK Big Data Analytics in Future Power Systems

Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability.