GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network.
Zhongmei HanQionghao HuangJie ZhangChangqin HuangHuijin WangXiaodi HuangPublished in: Appl. Intell. (2022)
Keyphrases
- granular computing
- detecting anomalies
- convolutional neural network
- anomaly detection
- rough sets
- soft computing
- information processing
- genetic algorithm
- rough set theory
- data mining applications
- fuzzy sets
- artificial neural networks
- learning process
- neural network
- information granules
- e learning
- abnormal events
- face detection
- equivalence relation
- data mining
- query processing
- pattern recognition
- data sets
- metadata
- image segmentation
- fitness function
- data analysis
- genetic programming
- real time