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Outlier Detection for Temporal Data

outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We;

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New Developments in Unsupervised Outlier Detection

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k;

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Outlier Detection Techniques and Applications

This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to;

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Outlier Ensembles

) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the;

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Outlier Analysis

, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains;

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Outlier Analysis

, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains;

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Similarity Search and Applications

of Dimensionality; Clustering and Outlier Detection; Subspaces and Embeddings; Applications; Doctoral Symposium Papers.;

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Similarity Search and Applications

complex objects; outlier detection; indexing and applications; and applications and specific domains. The paper 'A New Perspective on the Tree;

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State Of The Art In Intrusion Prevention

techniques. It also includes information on physical intrusion in wired and wireless networks and agent-based intrusion surveillance, detection, and;

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The State of the Art in Intrusion Prevention and Detection

techniques. It also includes information on physical intrusion in wired and wireless networks and agent-based intrusion surveillance, detection, and;

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Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques

coverage of the theory, experimental techniques, and end-user applications of charged aerosol detection * Includes contributions from experts from;

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Detection-Oriented Derivatization Techniques in Liquid Chromatography

This book covers the principles, kinetics, and applications of derivatization reactions in liquid chromatography. It emphasizes detection;

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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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Robust Representation for Data Analytics

data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection;

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Data Mining Concepts & Techniques

classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends;

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Detection of Intrusions and Malware, and Vulnerability Assessment

assessment, dealing with novel ideas, techniques, and applications in important areas of computer security including vulnerability detection, attack;

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Optimal Combining and Detection

combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference;

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Advanced Structural Damage Detection

and integrity. SHM technology integrates non-destructive evaluation techniques using remote sensing and smart materials to create smart self;

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Detection Methods in Precision Medicine

techniques and their applications, and other bioanalytical techniques, including mass spectrometry for proteome and phosphoproteome analysis;

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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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R and Data Mining

, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data;

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Handbook of Particle Detection and Imaging

The handbook centers on detection techniques in the field of particle physics, medical imaging and related subjects. It is structured into;

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Detection Theory

of detection theory, the necessary mathematics, and basic signal processing methods along with some recently developed statistical techniques;

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Methods and Techniques for Fire Detection

This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and;

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The Maximum Consensus Problem

Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately;

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The Maximum Consensus Problem

Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately;

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Physics and Engineering of Radiation Detection

necessary skills to design and build practical systems and perform data analysis.Covers the modern techniques involved in detection and;

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