Journal of Data Mining and Management

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