1 A new unsupervised feature selection algorithm using similarity-based feature clustering
来源：COMPUT INTELL-US( P 0824-7935 E 1467-8640 ) 发表时间: 2019/02
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2 Ensemble of ML-KNN for classification algorithm recommendation
来源：KNOWL-BASED SYST( P 0950-7051 E 1872-7409 ) 发表时间: 2021/06
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3 Using Coding-Based Ensemble Learning to Improve Software Defect Prediction
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4 Software change-proneness prediction through combination of bagging and resampling methods
来源：J SOFTW-EVOL PROC( P 2047-7473 E 2047-7481 ) 发表时间: 2018/12
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5 A novel ensemble method for classifying imbalanced data
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6 A new classification algorithm recommendation method based on link prediction
来源：KNOWL-BASED SYST( P 0950-7051 E 1872-7409 ) 发表时间: 2018/11
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7 An empirical study of software change classification with imbalance data-handling methods
来源：SOFTWARE PRACT EXPER( P 0038-0644 E 1097-024X ) 发表时间: 2018/11
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8 An analysis of programming language statement frequency in C, C plus plus , and Java source code
来源：SOFTWARE PRACT EXPER( P 0038-0644 E 1097-024X ) 发表时间: 2015/11
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9 A Selective Detector Ensemble for Concept Drift Detection
来源：COMPUT J( P 0010-4620 E 1460-2067 ) 发表时间: 2015/03
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10 Just-in-time defect prediction for software hunks
来源：SOFTWARE PRACT EXPER( P 0038-0644 E 1097-024X ) 发表时间: 2022/01
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