Effective Detection of Rare Anomalies from Massive Waveform Data Using Heterogeneous Clustering.
Masaharu GotoKiyoshi ChikamatsuNaoki KobayashiGang RenMitsunori OgiharaPublished in: IEEE BigData (2020)
Keyphrases
- data sets
- database
- data collection
- high quality
- data analysis
- original data
- anomaly detection
- spectral clustering
- training data
- data quality
- synthetic data
- image data
- data processing
- databases
- detection algorithm
- high dimensional data
- missing data
- spatial data
- massive data sets
- data mining tasks
- data mining applications
- detect anomalies
- disparate data sources
- statistical analysis
- object detection
- knowledge discovery
- probability distribution
- xml documents
- clustering algorithm
- feature selection