American Journal of Data Mining and Knowledge Discovery

Aims and Scope

American Journal of Data Mining and Knowledge Discovery (ISSN Online: 2578-7837, ISSN Print: 2578-7810) is an open access, peer reviewed international journal. This journal focuses on the fields including statistics databases pattern recognition and learning data visualization uncertainty modelling data warehousing and OLAP optimization and high performance computing. The journal prefers the submitted manuscript, which meets the internationally accepted criteria and the style of the journal for the purpose of both reviewing and editing.

The topics related to this journal include but are not limited to:

  • Data Cleaning
  • Olap Optimization
  • Statistics
  • Engineering
  • Informatics
  • Data Analysis
  • Data Visualization
  • Multimedia Data
  • Metrics of Interestingness
  • Noise Modelling
  • High Performance Computing
  • Computer Science
  • General Sciences
  • General Mathematics
  • Machine Learning Techniques
  • Data Warehousing
  • Uncertainty Management

Guidelines for preparing your manuscript can be found in the Manuscript Preparation Guidelines. Once your manuscript is ready, you may proceed to the Submission page to complete the process.