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蔡赛华
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[1] An Empirical Study on Vulnerability Detection for Source Code Software based on Deep Learning
[2] A Efficient Network Traffic Classification Method based on Combined Feature Dimensionality Reduction
[3] An Identification Algorithm of Attacking Programs based on Quadratic Feature Selection and Fast Decision Tree
[4] An Efficient Network Traffic Classification Method based on Combined Feature Dimensionality Reduction
[5] 数据分析与挖掘课程教学改革研究
[6] An Identification Algorithm of Attacking Programs based on Quadratic Feature Selection and Fast Decision Tree
[7] Minimal Rare Pattern-Based Outlier Detection Approach For Uncertain Data Streams Under Monotonic Constraints
[8] An Empirical Study on Vulnerability Detection for Source Code Software based on Deep Learning
[9] MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams
[10] An Efficient Outlier Detection Approach for Streaming Sensor Data Based on Neighbor Difference and Clustering
[11] Minimal Rare-Pattern-Based Outlier Detection Method for Data Streams by Considering Anti-monotonic Constraints
[12] An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints
[13] An efficient outlier detection method for data streams based on closed frequent patterns by considering anti-monotonic constraints
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