Anomaly 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 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

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  • Author : Patrick Schneider
  • Publisher : Academic Press
  • Pages : 270 pages
  • ISBN : 9780128238189
  • 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 : 15 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 : Unknown Publisher
  • Release : 18 January 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

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

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

Data Science and Big Data Computing

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

Stream Processing with Apache Flink

Stream Processing with Apache Flink
  • Author : Fabian Hueske,Vasiliki Kalavri
  • Publisher : O'Reilly Media
  • Release : 11 April 2019
GET THIS BOOKStream Processing with Apache Flink

Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is

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

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

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.