Journal of Data Mining and Management (e-ISSN: 2456-9437)

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