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