This Journal involves the basic principles of computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
- Anomaly Detection (Outlier/Change/Deviation Detection)
- Association Rule Learning (Dependency Modelling)
- Clustering
- Medical Data Mining: Machine Learning Algorithms
- Knowledge Discovery in Databases
- Geographic Information Systems (GIS)
- Developing and Supporting Geographic Data Warehouses
- Temporal Data Mining
- Sensor Data Mining
- Visual Data Mining
- Surveillance
- Pattern Mining
- Knowledge Grid