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Isolation-Based Anomaly Detection

ACM transactions on knowledge discovery from data, 2012-03, Vol.6 (1), p.1-39

2012

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A Survey of Audio-Based Music Classification and Annotation

IEEE Transactions on Multimedia, 2011-04, Vol.13 (2), p.303-319

2011

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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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Kernel-based clustering via Isolation Distributional Kernel

Information systems (Oxford), 2023-07, Vol.117, p.102212, Article 102212

2023

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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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Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

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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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Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Information systems (Oxford), 2022-01, Vol.103, p.101871, Article 101871

2022

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Is it possible to find the single nearest neighbor of a query in high dimensions?

Artificial intelligence, 2024-11, Vol.336, p.104206, Article 104206

2024

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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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A new distributional treatment for time series anomaly detection

The VLDB journal, 2024-05, Vol.33 (3), p.753-780

2024

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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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Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

2014 IEEE International Conference on Data Mining Workshop, 2014, p.698-705

2014

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A study on the effect of class distribution using cost-sensitive learning

Lecture notes in computer science, 2002, p.98-112

KAI MING TING

2002

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Isolation Set-Kernel and Its Application to Multi-Instance Learning

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.941-949

2019

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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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Simplifying and improving ant-based clustering

Procedia computer science, 2011, Vol.4, p.46-55

2011

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Isolation-Based Anomaly Detection

A Survey of Audio-Based Music Classification and Annotation

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

On Detecting Clustered Anomalies Using SCiForest

Kernel-based clustering via Isolation Distributional Kernel

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

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest

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

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Is it possible to find the single nearest neighbor of a query in high dimensions?

DEMass: a new density estimator for big data

A new distributional treatment for time series anomaly detection

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

Learning Naive Bayes Classifiers for Music Classification and Retrieval

Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble

A study on the effect of class distribution using cost-sensitive learning

Isolation Set-Kernel and Its Application to Multi-Instance Learning

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

Simplifying and improving ant-based clustering

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