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Anomaly Detection and Complex Event Processing over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams
  • Author : Patrick Schneider
  • Publsiher : Academic Press
  • Release : 01 June 2021
  • ISBN : 0128238194
  • Pages : 270 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAnomaly Detection and Complex Event Processing over IoT Data Streams

Summary:
Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to Electrocardiogram Patient Data Monitoring presents the advanced processing techniques for IoT data streams, with a case study in the field of eHealth, namely, a classification scenario over an Electrocardiogram (ECG) stream. 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. 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 will be discussed. The book brings new advances and generalized techniques for processing an IoT data streams, semantic data enrichment with contextual information at Edge, Fog, and Cloud as well as complex event processing in IoT applications from health domain. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Extraction (Anomaly Detection) Illustrates new scalable and reliable processing techniques based on IoT stream technologies Offers application to new real-time anomaly detection scenarios in the health domain. · Development of data-driven reasoning software systems in eHealth


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 June 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 Electrocardiogram Patient Data Monitoring presents the advanced processing techniques for IoT data streams, with a case study in the field of eHealth, namely, a classification scenario over an Electrocardiogram (ECG) stream. 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


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 : Anonim
  • Release : 03 March 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


Towards Semantically Enabled Complex Event Processing

Towards Semantically Enabled Complex Event Processing
  • Author : Robin Keskisärkkä
  • Publisher : Linköping University Electronic Press
  • Release : 30 October 2017
GET THIS BOOKTowards Semantically Enabled Complex Event Processing

The Semantic Web provides a framework for semantically annotating data on the web, and the Resource Description Framework (RDF) supports the integration of structured data represented in heterogeneous formats. Traditionally, the Semantic Web has focused primarily on more or less static data, but information on the web today is becoming increasingly dynamic. RDF Stream Processing (RSP) systems address this issue by adding support for streaming data and continuous query processing. To some extent, RSP systems can be used to perform


Fog Computing

Fog Computing
  • Author : Assad Abbas,Samee U. Khan,Albert Y. Zomaya
  • Publisher : John Wiley & Sons
  • Release : 21 April 2020
GET THIS BOOKFog Computing

Summarizes the current state and upcoming trends within the area of fog computing Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth. Presented in two parts—Fog Computing Systems and


Handbook of Research on Investigations in Artificial Life Research and Development

Handbook of Research on Investigations in Artificial Life Research and Development
  • Author : Habib, Maki
  • Publisher : IGI Global
  • Release : 08 June 2018
GET THIS BOOKHandbook of Research on Investigations in Artificial Life Research and Development

Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and Development is a vital scholarly reference source that examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Examining topics such as computational intelligence,


Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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


The Semantic Web: ESWC 2018 Satellite Events

The Semantic Web: ESWC 2018 Satellite Events
  • 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.


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


Event Processing for Business

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


Spatio-Temporal Data Streams

Spatio-Temporal Data Streams
  • Author : Zdravko Galić
  • Publisher : Springer
  • Release : 26 August 2016
GET THIS BOOKSpatio-Temporal Data Streams

This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data



Learning from Data Streams

Learning from Data Streams
  • 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.


Introduction to Apache Flink

Introduction to Apache Flink
  • Author : Ellen Friedman,Kostas Tzoumas
  • Publisher : "O'Reilly Media, Inc."
  • Release : 19 October 2016
GET THIS BOOKIntroduction to Apache Flink

There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well—until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities. Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered


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