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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;

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Practical Machine Learning - A New Look at Anomaly Detection

, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Anomaly Detection

of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase;

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Event Streams in Action

sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the;

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Kafka Streams in Action

become one of the biggest needs for companies over the last few years as quick data insight becomes more and more important but current;

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Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were;

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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Artificial Intelligence for IoT Cookbook

systems Gain insights into IoT data using algorithms and implement them in projects Perform anomaly detection for time series data and other;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT;

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Outlier Detection for Temporal Data

have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Machine Learning and Knowledge Discovery in Databases. Research Track

: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Beginning Anomaly Detection Using Python-Based Deep Learning

detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering;

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Real-time Linked Dataspaces

, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III Stream and Event Processing;

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Real-time Linked Dataspaces

, including catalog, entity management, query and search, data service discovery, and human-in-the-loop. In turn, Part III Stream and Event Processing;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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Big Data Analytics for Time-Critical Mobility Forecasting

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving;

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High Performance in-memory computing with Apache Ignite

This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and;

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Data Science on AWS

repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis;

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