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Isolation Distributional Kernel A New Tool for Point & Group Anomaly Detection

IEEE transactions on knowledge and data engineering, 2021, p.1-1

2021

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On Detecting Clustered Anomalies Using SCiForest

Machine Learning and Knowledge Discovery in Databases, p.274-290

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Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel

The Journal of artificial intelligence research, 2021, Vol.71, p.667-695

2021

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Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.198-206

2020

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DEMass: a new density estimator for big data

Knowledge and information systems, 2013-06, Vol.35 (3), p.493-524

2013

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ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets

The Journal of artificial intelligence research, 2016-12, Vol.57, p.593-620

2016

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Learning Naive Bayes Classifiers for Music Classification and Retrieval

2010 20th International Conference on Pattern Recognition, 2010, p.4589-4592

2010

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Bone morphogenetic protein 2 promotes transforming growth factor β3-induced chondrogenesis of human osteoarthritic synovium-derived stem cells

Chinese medical journal, 2010-11, Vol.123 (21), p.3040-3048

2010

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A Distance Scaling Method to Improve Density-Based Clustering

Advances in Knowledge Discovery and Data Mining, p.389-400

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Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings

1, 2008

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Reproducing the Results of Ant-based Clustering Without Using Ants

2006 IEEE International Conference on Evolutionary Computation, 2006, p.1760-1767

2006

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Improving iForest with Relative Mass

Advances in Knowledge Discovery and Data Mining, p.510-521

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Mp-Dissimilarity: A Data Dependent Dissimilarity Measure

2014 IEEE International Conference on Data Mining, 2014, p.707-712

2014

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Neighbourhood Contrast: A Better Means to Detect Clusters Than Density

Advances in Knowledge Discovery and Data Mining, p.401-412

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Boosting trees for cost-sensitive classifications

Lecture notes in computer science, 1998, p.190-195

1998

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Multi-dimensional Mass Estimation and Mass-based Clustering

2010 IEEE International Conference on Data Mining, 2010, p.511-520

2010

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Feature-subspace aggregating: ensembles for stable andunstable learners

Machine learning, 2011-03, Vol.82 (3), p.375-397

2011

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Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection

Intelligence and Security Informatics, p.73-86

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An Improved Algorithm for Moving Object Tracking Based on EKF

Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications, p.483-490

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MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation

Advances in Knowledge Discovery and Data Mining, p.136-148

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Density Estimation Based on Mass

2011 IEEE 11th International Conference on Data Mining, 2011, p.715-724

2011

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Advances in knowledge discovery and data mining: 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008

2008

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Efficient nonlinear classification via low-rank regularised least squares : Advances in Learning Algorithms

Neural computing & applications (Print), 2013, Vol.22 (7-8), p.1279-1289

2013

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To select or to weigh : A comparative study of linear combination schemes for superparent-one-dependence estimators

IEEE transactions on knowledge and data engineering, 2007, Vol.19 (12), p.1652-1665

2007

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Towards using a single uniform metric in instance-based learning

Case-Based Reasoning Research and Development, 2005, p.559-568

2005

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Isolation Distributional Kernel A New Tool for Point & Group Anomaly Detection

On Detecting Clustered Anomalies Using SCiForest

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel

Isolation Distributional Kernel: A New Tool for Kernel based Anomaly Detection

DEMass: a new density estimator for big data

ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets

Learning Naive Bayes Classifiers for Music Classification and Retrieval

Bone morphogenetic protein 2 promotes transforming growth factor β3-induced chondrogenesis of human osteoarthritic synovium-derived stem cells

A Distance Scaling Method to Improve Density-Based Clustering

Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings

Reproducing the Results of Ant-based Clustering Without Using Ants

Improving iForest with Relative Mass

Mp-Dissimilarity: A Data Dependent Dissimilarity Measure

Neighbourhood Contrast: A Better Means to Detect Clusters Than Density

Boosting trees for cost-sensitive classifications

Multi-dimensional Mass Estimation and Mass-based Clustering

Feature-subspace aggregating: ensembles for stable andunstable learners

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection

An Improved Algorithm for Moving Object Tracking Based on EKF

MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation

Density Estimation Based on Mass

Advances in knowledge discovery and data mining: 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008

Efficient nonlinear classification via low-rank regularised least squares : Advances in Learning Algorithms

To select or to weigh : A comparative study of linear combination schemes for superparent-one-dependence estimators

Towards using a single uniform metric in instance-based learning

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