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A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

IEEE transactions on knowledge and data engineering, 2013-01, Vol.25 (1), p.1-14

2013

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Automatic Clustering via Outward Statistical Testing on Density Metrics

IEEE transactions on knowledge and data engineering, 2016-08, Vol.28 (8), p.1971-1985

2016

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Data Quality: Some Comments on the NASA Software Defect Datasets

IEEE transactions on software engineering, 2013-09, Vol.39 (9), p.1208-1215

2013

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Using Coding-Based Ensemble Learning to Improve Software Defect Prediction

IEEE transactions on human-machine systems, 2012-11, Vol.42 (6), p.1806-1817

2012

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A General Software Defect-Proneness Prediction Framework

IEEE transactions on software engineering, 2011-05, Vol.37 (3), p.356-370

2011

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Towards online multiresolution community detection in large-scale networks

PloS one, 2011-08, Vol.6 (8), p.e23829-e23829

2011

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Automatic recommendation of classification algorithms based on data set characteristics

Pattern recognition, 2012-07, Vol.45 (7), p.2672-2689

2012

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A multi-label learning based kernel automatic recommendation method for support vector machine

PloS one, 2015-04, Vol.10 (3), p.e0120455-e0120455

2015

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Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network

IEEE transactions on knowledge and data engineering, 2013-08, Vol.25 (8), p.1876-1889

2013

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Selecting feature subset for high dimensional data via the propositional FOIL rules

Pattern recognition, 2013-01, Vol.46 (1), p.199-214

2013

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A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction

IEEE transactions on software engineering, 2019-12, Vol.45 (12), p.1253-1269

2019

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Backward Path Growth for Efficient Mobile Sequential Recommendation

IEEE transactions on knowledge and data engineering, 2015-01, Vol.27 (1), p.46-60

2015

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Software defect association mining and defect correction effort prediction

IEEE transactions on software engineering, 2006-02, Vol.32 (2), p.69-82

2006

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Integrate the GM(1,1) and Verhulst Models to Predict Software Stage Effort

IEEE transactions on human-machine systems, 2009-11, Vol.39 (6), p.647-658

2009

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Mining web browsing patterns for E-commerce

Computers in industry, 2006-09, Vol.57 (7), p.622-630

2006

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An empirical analysis of package-modularization metrics: Implications for software fault-proneness

Information and software technology, 2015-01, Vol.57, p.186-203

2015

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Predicting software project effort: A grey relational analysis based method

Expert systems with applications, 2011-06, Vol.38 (6), p.7302-7316

2011

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A novel ensemble method for classifying imbalanced data

Pattern recognition, 2015-05, Vol.48 (5), p.1623-1637

2015

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A coding method for efficient subgraph querying on vertex- and edge-labeled graphs

PloS one, 2014-05, Vol.9 (5), p.e97178-e97178

2014

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An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems

Science China. Information sciences, 2012-12, Vol.55 (12), p.2800-2815

2012

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Label Propagation with α-Degree Neighborhood Impact for Network Community Detection

Computational Intelligence and Neuroscience, 2014-01, Vol.2014 (2014), p.27-35

2014

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Missing Data Imputation Techniques

International journal of business intelligence and data mining, 2007, Vol.2 (3), p.261

2007

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A new imputation method for small software project data sets

The Journal of systems and software, 2007, Vol.80 (1), p.51-62

2007

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CenLP: A centrality-based label propagation algorithm for community detection in networks

Physica A, 2015-10, Vol.436, p.767-780

2015

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An improved data characterization method and its application in classification algorithm recommendation

Applied intelligence (Dordrecht, Netherlands), 2015-12, Vol.43 (4), p.892-912

2015

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A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

Automatic Clustering via Outward Statistical Testing on Density Metrics

Data Quality: Some Comments on the NASA Software Defect Datasets

Using Coding-Based Ensemble Learning to Improve Software Defect Prediction

A General Software Defect-Proneness Prediction Framework

Towards online multiresolution community detection in large-scale networks

Automatic recommendation of classification algorithms based on data set characteristics

A multi-label learning based kernel automatic recommendation method for support vector machine

Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network

Selecting feature subset for high dimensional data via the propositional FOIL rules

A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction

Backward Path Growth for Efficient Mobile Sequential Recommendation

Software defect association mining and defect correction effort prediction

Integrate the GM(1,1) and Verhulst Models to Predict Software Stage Effort

Mining web browsing patterns for E-commerce

An empirical analysis of package-modularization metrics: Implications for software fault-proneness

Predicting software project effort: A grey relational analysis based method

A novel ensemble method for classifying imbalanced data

A coding method for efficient subgraph querying on vertex- and edge-labeled graphs

An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems

Label Propagation with α-Degree Neighborhood Impact for Network Community Detection

Missing Data Imputation Techniques

A new imputation method for small software project data sets

CenLP: A centrality-based label propagation algorithm for community detection in networks

An improved data characterization method and its application in classification algorithm recommendation

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