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Outlier Detection: Techniques and Applications: A Data Mining Perspective

1st ed. 2019., 2019

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Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory

IEEE transactions on knowledge and data engineering, 2013-05, Vol.25 (5), p.1070-1082

2013

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Combining heterogeneous classifiers for relational databases

Pattern recognition, 2013-01, Vol.46 (1), p.317-324

2013

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Two-level k-means clustering algorithm for k– τ relationship establishment and linear-time classification

Pattern recognition, 2010-03, Vol.43 (3), p.796-804

2010

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Extended Conflict-Based Search with Awareness

Integrated Intelligent Computing, Communication and Security, 2019, Vol.771, p.459-467

2019

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Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs

1st Edition 2021, 2020

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Extended Conflict-Based Search for the Convoy Movement Problem

IEEE intelligent systems, 2015-11, Vol.30 (6), p.60-70

2015

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Research Issues in Outlier Detection

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.29-51

2019

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Outlier Detection

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.13-27

2019

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Outlier Detection in Categorical Data

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.69-93

2019

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Outliers in High Dimensional Data

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.95-111

2019

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A Generic Axiomatic Characterization for Measuring Influence in Social Networks

2018 24th International Conference on Pattern Recognition (ICPR), 2018, p.2606-2611

2018

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Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification

Cybernetics and information technologies : CIT, 2012-01, Vol.12 (4), p.77-94

2012

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Computational Preliminaries

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.53-68

2019

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Directions for Further Work

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.195-202

2019

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Outlier Detection Using Rough Sets

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.113-131

2019

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Mining Anomalies in Graph Data

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.135-158

2019

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Analyzing Dynamic Networks

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.159-176

2019

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Detecting Anomalies in Dynamic Networks

Outlier Detection: Techniques and Applications, 2019, Vol.155, p.177-194

2019

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Classification of run-length encoded binary data

Pattern recognition, 2007, Vol.40 (1), p.321-323

2007

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Detecting outliers in categorical data through rough clustering

Natural computing, 2016-09, Vol.15 (3), p.385-394

2016

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Compression Schemes for Mining Large Datasets: A Machine Learning Perspective

1, 2013

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Outlier Detection: A Data Mining Perspective

1, 2019

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On Improving the Generalization of SVM Classifier

Computer Networks and Intelligent Computing, p.11-20

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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks

1, 2016

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Outlier Detection: Techniques and Applications: A Data Mining Perspective

Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory

Combining heterogeneous classifiers for relational databases

Two-level k-means clustering algorithm for k– τ relationship establishment and linear-time classification

Extended Conflict-Based Search with Awareness

Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs

Extended Conflict-Based Search for the Convoy Movement Problem

Research Issues in Outlier Detection

Outlier Detection

Outlier Detection in Categorical Data

Outliers in High Dimensional Data

A Generic Axiomatic Characterization for Measuring Influence in Social Networks

Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification

Computational Preliminaries

Directions for Further Work

Outlier Detection Using Rough Sets

Mining Anomalies in Graph Data

Analyzing Dynamic Networks

Detecting Anomalies in Dynamic Networks

Classification of run-length encoded binary data

Detecting outliers in categorical data through rough clustering

Compression Schemes for Mining Large Datasets: A Machine Learning Perspective

Outlier Detection: A Data Mining Perspective

On Improving the Generalization of SVM Classifier

Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks

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