Anomaly Detection And Complex Event Processing Over Iot Data Streams

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Anomaly Detection And Complex Event Processing Over Iot Data Streams

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Author : Patrick Schneider
language : en
Publisher: Academic Press
Release Date : 2022-01-07

Anomaly Detection And Complex Event Processing Over Iot Data Streams written by Patrick Schneider and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-07 with Computers categories.

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 and the anomaly detection algorithms over them. 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. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. - 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

Data Semantic Enrichment For Complex Event Processing Over Iot Data Streams

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Author : Patrick Schneider
language : en
Publisher:
Release Date : 2019

Data Semantic Enrichment For Complex Event Processing Over Iot Data Streams written by Patrick Schneider and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

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.

Asimov For Iot Event And Stream Processing

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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-08-20

Asimov For Iot Event And Stream Processing written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.

"Asimov for IoT Event and Stream Processing" "Asimov for IoT Event and Stream Processing" is a comprehensive guide designed for architects, engineers, and decision-makers seeking to master event-driven infrastructures and real-time analytics within the Internet of Things. With a foundation built on architectural principles, the book explores the nuances of event and stream processing specific to IoT environments—addressing the diversity, scale, and complexity of device-generated data. Readers are introduced to modern frameworks, protocols, and platform selection criteria, along with deep insights into partitioning strategies that span edge, fog, and cloud, while rigorously considering security and privacy imperatives. The core of the text is an in-depth exploration of the Asimov framework—an advanced platform purpose-built for event processing in large-scale IoT deployments. The chapters walk through Asimov’s history, architecture, and distinguishing features, offering practical guidance on orchestrating workflows, integrating with device and protocol adapters, enforcing schema, and managing pipelines for high-throughput ingestion and normalization. Readers benefit from extensive coverage of developer tooling, deployment patterns, lifecycle management strategies, and best practices for building robust, scalable event-processing pipelines that incorporate advanced analytics and machine learning at both the edge and in the cloud. Rounding out its scope, the book addresses the full operational lifecycle of Asimov deployments, including monitoring, observability, automated remediation, security, regulatory compliance, and case studies from diverse industrial and smart environments. With dedicated chapters on horizontal and vertical scaling, high-availability design, elasticity, and integration with broader data ecosystems, "Asimov for IoT Event and Stream Processing" is an invaluable resource for organizations driving innovation in IoT through intelligent, resilient, and future-ready event streaming solutions.

High Performance Complex Event Processing To Detect Anomalies In Streaming Rdf Data

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Author : Majd Abdo
language : en
Publisher:
Release Date : 2017

High Performance Complex Event Processing To Detect Anomalies In Streaming Rdf Data written by Majd Abdo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.

Iot Streams For Data Driven Predictive Maintenance And Iot Edge And Mobile For Embedded Machine Learning

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Author : Joao Gama
language : en
Publisher: Springer Nature
Release Date : 2021-01-09

Iot Streams For Data Driven Predictive Maintenance And Iot Edge And Mobile For Embedded Machine Learning written by Joao Gama and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-09 with Computers categories.

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Complex Event Processing In Iot Middleware

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Author : 吳佳芷
language : en
Publisher:
Release Date : 2016

Complex Event Processing In Iot Middleware written by 吳佳芷 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.

Supervised Anomaly Detection In Uncertain Pseudo Periodic Data Streams

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Author : Jiangang Ma
language : en
Publisher:
Release Date : 2016

Supervised Anomaly Detection In Uncertain Pseudo Periodic Data Streams written by Jiangang Ma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.

Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. In this paper, we present a novel framework that supports anomaly detection in uncertain data streams. The proposed framework adopts an efficient uncertainty pre-processing procedure to identify and eliminate uncertainties in data streams. Based on the corrected data streams, we develop effective period pattern recognition and feature extraction techniques to improve the computational efficiency. We use classification methods for anomaly detection in the corrected data stream. We also empirically show that the proposed approach shows a high accuracy of anomaly detection on a number of real datasets.

Anomaly Detection And Health Analysis Techniques For Core Router Systems

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Author : Shi Jin
language : en
Publisher: Springer Nature
Release Date : 2019-12-19

Anomaly Detection And Health Analysis Techniques For Core Router Systems written by Shi Jin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Technology & Engineering categories.

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today’s Internet Protocol (IP) networks. The techniques described provide the first comprehensive set of data-driven resiliency solutions for core router systems. The authors present an anomaly detector for core router systems using correlation-based time series analysis, which monitors a set of features of a complex core router system. They also describe the design of a changepoint-based anomaly detector such that anomaly detection can be adaptive to changes in the statistical features of data streams. The presentation also includes a symbol-based health status analyzer that first encodes, as a symbol sequence, the long-term complex time series collected from a number of core routers, and then utilizes the symbol sequence for health analysis. Finally, the authors describe an iterative, self-learning procedure for assessing the health status. Enables Accurate Anomaly Detection Using Correlation-Based Time-Series Analysis; Presents the design of a changepoint-based anomaly detector; Includes Hierarchical Symbol-based Health-Status Analysis; Describes an iterative, self-learning procedure for assessing the health status.

Complex Event Processing Unabridged Guide

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Author : James Weber
language : en
Publisher: Tebbo
Release Date : 2012-09-01

Complex Event Processing Unabridged Guide written by James Weber and has been published by Tebbo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-01 with Reference categories.

Complete, Unabridged Guide to Complex event processing. Get the information you need--fast! This comprehensive guide offers a thorough view of key knowledge and detailed insight. It's all you need. Here's part of the content - you would like to know it all? Delve into this book today!..... : Even though there is no direct measurement that can determine conclusively that the driver was thrown, or that there was an accident, the combination of events allows the situation to be detected and a new event to be created to signify the detected situation. ...Now one use for CEP is to link these separate processes, so that in the case of when the initial process (breakdown monitoring) discovers a malfunction based on metal fatigue (a significant event) an action can be created to exploit the second process (life cycle) to issue a recall on vehicles using the same batch of metal discovered as faulty in the initial process. ... The financial services industry was an early adopter of CEP technology, using complex event processing to structure and contextualize available data so that it could inform trading behavior, specifically algorithmic trading, by identifying opportunities or threats that indicate traders (or automatic trading systems) should buy or sell. ...The timestamps are not required to be ascending (merely non-decreasing) because in practice the time resolution of some systems such as financial data sources can be quite low (milliseconds, microseconds or even nanoseconds), so consecutive events may carry equal timestamps. There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Complex event processing in key topics and material. There is no reason to invest in any other materials to learn about Complex event processing. You'll understand it all. Inside the Guide: Complex event processing, Sybase, Service management, Real-time computing, Progress Software, Operational intelligence, OpenPDC, Network management, Nastel, Market liquidity, International Standard Book Number, Financial risk management, Event stream processing, Event correlation, Event Processing Technical Society, Event-driven architecture, Esper (disambiguation), Digital object identifier, Credit card fraud, Business activity monitoring, Artificial intelligence, Algorithmic trading, Abstraction

Consistent Splitting Of Event Streams In Parallel Complex Event Processing

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Author : Nagarjuna Siddam
language : en
Publisher:
Release Date : 2015

Consistent Splitting Of Event Streams In Parallel Complex Event Processing written by Nagarjuna Siddam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.