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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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Finding Ghosts in Your Data

interquartile range Apply state-of-the-art anomaly detection techniques in the realms of clustering and time series analysis Work with common Python;

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Finding Ghosts in Your Data

, and interquartile range Apply state-of-the-art anomaly detection techniques in the realms of clustering and time series analysis Work with;

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Traffic Anomaly Detection

"typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis)

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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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Anomaly Detection and Complex Event Processing Over IoT Data Streams

advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized;

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State Of The Art In Intrusion Prevention

by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and;

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The State of the Art in Intrusion Prevention and Detection

by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and;

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Network Anomaly Detection

security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning;

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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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Applied Cloud Deep Semantic Recognition

frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

systems health management. The first part of the text describes data-driven methods for anomaly detection, diagnosis, and prognosis of massive;

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource;

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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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Network Security: Issues, Challenges and Techniques

, this volume discusses the design of effective Intrusion Detection Systems (IDS), clustering techniques in designing anomaly based IDS, network;

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Recent Advances in Intrusion Detection

papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis;

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Multiple-Aspect Analysis of Semantic Trajectories

data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.;

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges;

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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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Advances in Artificial Intelligence: From Theory to Practice

media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy;

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Advances in Artificial Intelligence: From Theory to Practice

media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy;

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Random Processes

, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications;

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Data Traffic Monitoring and Analysis

This book was prepared as the Final Publication of COST Action IC0703 Data Traffic Monitoring and Analysis: theory, techniques, tools and;

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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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Optimal Combining and Detection

cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The;

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