Accurate Anomaly Interval Recognition and Fault Classification by Pattern Mining and Clustering.
Ningyuan SunHongyun ZhengYishuai ChenYajun LiuJinuo FangPublished in: INFOCOM Workshops (2023)
Keyphrases
- pattern mining
- unsupervised learning
- anomaly detection
- feature extraction
- mining algorithm
- frequent pattern mining
- frequent patterns
- data mining
- sequential patterns
- classification accuracy
- interesting patterns
- itemsets
- machine learning
- pattern discovery
- discovering frequent
- classification algorithm
- text classification
- preprocessing
- clustering algorithm
- graph patterns
- graph mining
- domain driven
- recognition rate
- decision trees
- feature selection
- subgroup discovery
- data objects
- supervised learning
- state space
- frequent itemset mining
- pattern growth
- real world
- database