Anomaly Detection and Complex Event Processing over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. Bio-metric signals, such as the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches based on the Hierarchical Temporal Memory (HTM) and Convolutional Neural Network (CNN) algorithms. The book discusses adaptive solutions that can be extended to other use cases to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenario. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

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  • Author : Patrick Schneider
  • Publisher : Academic Press
  • Pages : 270 pages
  • ISBN : 0128238194
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAnomaly Detection and Complex Event Processing over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams
  • Author : Patrick Schneider,Fatos Xhafa
  • Publisher : Academic Press
  • Release : 01 September 2021
GET THIS BOOKAnomaly Detection and Complex Event Processing over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. Bio-metric signals, such as the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline

Data Semantic Enrichment for Complex Event Processing Over IoT Data Streams

Data Semantic Enrichment for Complex Event Processing Over IoT Data Streams
  • Author : Patrick Schneider
  • Publisher : Unknown Publisher
  • Release : 11 April 2021
GET THIS BOOKData Semantic Enrichment for Complex Event Processing Over IoT Data Streams

This thesis generalizes techniques for processing IoT data streams, semantically enrich data with contextual information, as well as complex event processing in IoT applications. A case study for ECG anomaly detection and signal classification was conducted to validate the knowledge foundation.

Advances in Edge Computing: Massive Parallel Processing and Applications

Advances in Edge Computing: Massive Parallel Processing and Applications
  • Author : F. Xhafa,A.K. Sangaiah
  • Publisher : IOS Press
  • Release : 10 March 2020
GET THIS BOOKAdvances in Edge Computing: Massive Parallel Processing and Applications

The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing
  • Author : Fatos Xhafa,Fang-Yie Leu,Massimo Ficco,Chao-Tung Yang
  • Publisher : Springer
  • Release : 16 October 2018
GET THIS BOOKAdvances on P2P, Parallel, Grid, Cloud and Internet Computing

This book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals the synergies among such large scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale. Grid computing originated as

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  • Author : Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji
  • Publisher : Springer
  • Release : 04 November 2014
GET THIS BOOKModeling and Processing for Next-Generation Big-Data Technologies

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are

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Event Processing for Business
  • Author : David C. Luckham
  • Publisher : John Wiley & Sons
  • Release : 21 October 2011
GET THIS BOOKEvent Processing for Business

Find out how Events Processing (EP) works and how it can work for you Business Event Processing: An Introduction and Strategy Guide thoroughly describes what EP is, how to use it, and how it relates to other popular information technology architectures such as Service Oriented Architecture. Explains how sense and response architectures are being applied with tremendous results to businesses throughout the world and shows businesses how they can get started implementing EP Shows how to choose business event processing

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  • Author : Aldo Gangemi,Anna Lisa Gentile,Andrea Giovanni Nuzzolese,Sebastian Rudolph,Maria Maleshkova,Heiko Paulheim,Jeff Z Pan,Mehwish Alam
  • Publisher : Springer
  • Release : 01 August 2018
GET THIS BOOKThe Semantic Web: ESWC 2018 Satellite Events

This book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 15th Extended Semantic Web Conference, ESWC 2018, held in Heraklion, Crete, Greece, in June 2018. The volume contains 41 poster and demonstration papers, 11 invited workshop papers, and 9 full papers, selected out of a total of 70 submissions. They deal with all areas of semantic web research, semantic technologies on the Web and Linked Data.

Building Enterprise IoT Applications

Building Enterprise IoT Applications
  • Author : Chandrasekar Vuppalapati
  • Publisher : CRC Press
  • Release : 12 December 2019
GET THIS BOOKBuilding Enterprise IoT Applications

McKinsey Global Institute predicts Internet of Things (IoT) could generate up to $11.1 trillion a year in economic value by 2025. Gartner Research Company expects 20 billion inter-connected devices by 2020 and, as per Gartner, the IoT will have a significant impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, improving efficiency and increasing employee and customer engagement. It’s clear from above and our research that the IoT is a game changer and will have huge

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  • Author : João Gama,Mohamed Medhat Gaber
  • Publisher : Springer Science & Business Media
  • Release : 11 October 2007
GET THIS BOOKLearning from Data Streams

Provides the reader with an overview of stream data processing, including prototype implementations like the Nile system and the TinyOS operating system.

Data Stream Management

Data Stream Management
  • Author : Minos Garofalakis,Johannes Gehrke,Rajeev Rastogi
  • Publisher : Springer
  • Release : 11 July 2016
GET THIS BOOKData Stream Management

This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the

Recent Applications in Data Clustering

Recent Applications in Data Clustering
  • Author : Harun Pirim
  • Publisher : BoD – Books on Demand
  • Release : 01 August 2018
GET THIS BOOKRecent Applications in Data Clustering

Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement

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  • Author : Jaydip Sen
  • Publisher : BoD – Books on Demand
  • Release : 01 August 2018
GET THIS BOOKInternet of Things

The term "Internet of Things" (IoT) refers to an ecosystem of interconnected physical objects and devices that are accessible through the Internet and can communicate with each other. The main strength of the IoT vision is the high impact it has created and will continue to do so on several aspects of the everyday life and behavior of its potential users. This book presents some of the state-of-the-art research work in the field of the IoT, especially on the issues

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  • 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

Data Science for Internet of Things

Data Science for Internet of Things
  • Author : Ajit Jaokar
  • Publisher : Unknown Publisher
  • Release : 15 December 2015
GET THIS BOOKData Science for Internet of Things

Data Science for Internet of Things provides a concise introduction to the application of Predictive learning algorithms to Internet of Things. This mini book is based on my teaching at Oxford University, UPM(University of Madrid) and also working with consulting clients.We first outline the key issues involved and then explores three key areas: Stream processing, Deep Learning and Sensor fusion for IoT. The book is also a recommended material for the Stanford University course : Building a Successful Business