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 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

Produk Detail:

  • Author : Hui-Huang Hsu
  • Publisher : Morgan Kaufmann
  • Pages : 326 pages
  • ISBN : 012809625X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBig Data Analytics for Sensor Network Collected Intelligence

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

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 BOOKInternet 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

Business Intelligence and Big Data

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

Business Information Systems

Business Information Systems
  • Author : Witold Abramowicz,Gary Klein
  • Publisher : Springer Nature
  • Release : 22 September 2020
GET THIS BOOKBusiness Information Systems

This book constitutes the proceedings of the 23rd International Conference on Business Information Systems, BIS 2020, which was planned to take place in Colorado Springs, CO, USA. Due to the COVID-19 pandemic, the conference was held fully online during June 8–10, 2020. This year's theme was "Data Science and Security in Business Information Systems". The 30 contributions presented in this volume were carefully reviewed and selected from 86 submissions. The book also contains two contributions from BIS 2019. The papers were organized in the following topical

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 BOOKComputational 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

Process Safety and Big Data

Process Safety and Big Data
  • Author : Sagit Valeev,Natalya Kondratyeva
  • Publisher : Elsevier
  • Release : 01 March 2021
GET THIS BOOKProcess Safety and Big Data

Process Safety and Big Data discusses the principles of process safety and advanced information technologies, explaining its application to the process industry and providing examples of applications in process safety control and decision support systems. The book helps address problems that researchers face as the result of increased process complexity. The book shows ways to tackle safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies

Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs
  • Author : Vivek Kale
  • Publisher : CRC Press
  • Release : 06 December 2019
GET THIS BOOKParallel Computing Architectures and APIs

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry. A basic trade-off exists between the use of one or a small number of such complex processors, at one extreme, and a moderate to very large number of simpler processors, at the other. When combined with a high-bandwidth, interprocessor communication facility leads to significant simplification of the design process. However, two major roadblocks prevent the widespread adoption

Fuzzy Transforms for Image Processing and Data Analysis

Fuzzy Transforms for Image Processing and Data Analysis
  • Author : Ferdinando Di Martino,Salvatore Sessa
  • Publisher : Springer Nature
  • Release : 22 April 2020
GET THIS BOOKFuzzy Transforms for Image Processing and Data Analysis

This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided into two parts, the first of which describes methods and techniques that use the bi-dimensional fuzzy transform method in image analysis. In turn, the second describes approaches that use the multidimensional fuzzy transform method in data analysis. An F-transform in one variable is defined as an operator which transforms a continuous function f on the real interval [a,

Intelligent Manufacturing and Mechatronics

Intelligent Manufacturing and Mechatronics
  • Author : Muhammad Syahril Bahari,Azmi Harun,Zailani Zainal Abidin,Roshaliza Hamidon,Sakinah Zakaria
  • Publisher : Springer Nature
  • Release : 30 July 2021
GET THIS BOOKIntelligent Manufacturing and Mechatronics

This book presents the proceedings of SympoSIMM 2020, the 3rd edition of the Symposium on Intelligent Manufacturing and Mechatronics. Focusing on "Strengthening Innovations Towards Industry 4.0", the book presents studies on the details of Industry 4.0's current trends. Divided into five parts covering various areas of manufacturing engineering and mechatronics stream, namely, artificial intelligence, instrumentation and controls, intelligent manufacturing, modelling and simulation, and robotics, the book will be a valuable resource for readers wishing to embrace the new era of Industry 4.0.

Smart Sensors Networks

Smart Sensors Networks
  • Author : Fatos Xhafa,Fang-Yie Leu,Li-Ling Hung
  • Publisher : Academic Press
  • Release : 14 June 2017
GET THIS BOOKSmart Sensors Networks

Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks
  • Author : Massimo Ficco,Francesco Palmieri
  • Publisher : Academic Press
  • Release : 29 September 2017
GET THIS BOOKSecurity and Resilience in Intelligent Data-Centric Systems and Communication Networks

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks presents current, state-of-the-art work on novel research in theoretical and practical resilience and security aspects of intelligent data-centric critical systems and networks. The book analyzes concepts and technologies that are successfully used in the implementation of intelligent data-centric critical systems and communication networks, also touching on future developments. In addition, readers will find in-demand information for domain experts and developers who want to understand and realize the aspects (opportunities and

Big Data in Practice

Big Data in Practice
  • Author : Bernard Marr
  • Publisher : John Wiley & Sons
  • Release : 22 March 2016
GET THIS BOOKBig Data in Practice

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail,

Freemium Economics

Freemium Economics
  • Author : Eric Benjamin Seufert
  • Publisher : Elsevier
  • Release : 27 December 2013
GET THIS BOOKFreemium Economics

Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development. Your freemium product generates vast volumes of data, but using that data to maximize conversion, boost retention, and deliver revenue can be challenging if you don't fully understand the impact that small changes can have on revenue. In this book, author Eric Seufert provides clear guidelines for using data and analytics