AIM

The Indian Journal of Data Mining (IJDM) serves as a platform for integrating academic research, industry standards, and innovative concepts across the diverse field of Data Mining [1]. It strives to disseminate high-quality, peer-reviewed articles in these domains. The content presented in the IJDM is indispensable for leaders overseeing various projects, programs, and portfolios. Recognizing the theoretical and managerial implications of the research is vital. The IJDM is interested in exceptional submissions that offer theoretical advancements and practical applications, emphasizing the importance of academic rigour and real-world significance.

SCOPE

The Indian Journal of Data Mining (IJDM) explores an extensive array of subjects within the field of Data Mining [1], encompassing the following:

  • Clustering Analysis
  • Association Rule Learning
  • Anomaly Detection (Outlier Analysis)
  • Characterisation/Discrimination
  • Classification Analysis:
  • Regression Analysis
  • Time-Series Analysis
  • Sequential Pattern Mining
  • Process Mining
  • Text Mining
  • Spatial Mining (Graph Mining)

References:

    1. Data mining – Wikipedia
    2. Adheres to the Editorial and Publishing Policies of Lattice Science and Publication (LSP)