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On Detecting Clustered Anomalies Using SCiForest

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

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Z-SVM : An SVM for improved classification of imbalanced data

Lecture notes in computer science, 2006, p.264-273

2006

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Ensemble selection for SuperParent-One-Dependence Estimators

Lecture notes in computer science, 2005, p.102-112

2005

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Maximizing Tree Diversity by Building Complete-Random Decision Trees

Advances in Knowledge Discovery and Data Mining, 2005, p.605-610

2005

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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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On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification

Neural Information Processing, p.490-499

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Improving the centered CUSUMS statistic for structural break detection in time series

Lecture notes in computer science, 2004, p.402-413

2004

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A New Effective and Efficient Measure for Outlying Aspect Mining

Web Information Systems Engineering – WISE 2020, p.463-474

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A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data

Advances in Knowledge Discovery and Data Mining, p.653-661

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Variable Randomness in Decision Tree Ensembles

Advances in Knowledge Discovery and Data Mining, 2006, p.81-90

2006

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Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees

Lecture notes in computer science, 2004, p.429-440

2004

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To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles

Lecture notes in computer science, 2006, p.533-544

2006

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What Is Frequent in a Single Graph?

Advances in Knowledge Discovery and Data Mining, p.858-863

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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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A Distance Scaling Method to Improve Density-Based Clustering

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

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Learning Sparse Kernel Classifiers in the Primal

Structural, Syntactic, and Statistical Pattern Recognition, p.60-69

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On Feature Combination for Music Classification

Structural, Syntactic, and Statistical Pattern Recognition, p.453-462

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Improving iForest with Relative Mass

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

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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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Extreme Support Vector Machine Classifier

Advances in Knowledge Discovery and Data Mining, p.222-233

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Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction

Advances in Knowledge Discovery and Data Mining, p.333-344

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Efficient Mining of High Utility Itemsets from Large Datasets

Advances in Knowledge Discovery and Data Mining, p.554-561

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Boosting trees for cost-sensitive classifications

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

1998

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A Decremental Approach for Mining Frequent Itemsets from Uncertain Data

Advances in Knowledge Discovery and Data Mining, p.64-75

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Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection

Intelligence and Security Informatics, p.73-86

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On Detecting Clustered Anomalies Using SCiForest

Z-SVM : An SVM for improved classification of imbalanced data

Ensemble selection for SuperParent-One-Dependence Estimators

Maximizing Tree Diversity by Building Complete-Random Decision Trees

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

On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification

Improving the centered CUSUMS statistic for structural break detection in time series

A New Effective and Efficient Measure for Outlying Aspect Mining

A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data

Variable Randomness in Decision Tree Ensembles

Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees

To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles

What Is Frequent in a Single Graph?

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

A Distance Scaling Method to Improve Density-Based Clustering

Learning Sparse Kernel Classifiers in the Primal

On Feature Combination for Music Classification

Improving iForest with Relative Mass

Neighbourhood Contrast: A Better Means to Detect Clusters Than Density

Extreme Support Vector Machine Classifier

Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction

Efficient Mining of High Utility Itemsets from Large Datasets

Boosting trees for cost-sensitive classifications

A Decremental Approach for Mining Frequent Itemsets from Uncertain Data

Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection

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