Call For Paper

Call for Paper

The ICDMKDS invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Statistics, Data Science the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining techniques in statistics
  • Knowledge discovery in large datasets
  • Statistical methods for data preprocessing
  • Data visualization in data mining
  • Mining temporal and spatial data
  • Statistical learning for big data
  • Pattern recognition in data mining
  • Data mining applications in healthcare
  • Statistical challenges in data mining
  • Ethics in data mining practices
  • Data mining for social network analysis
  • Statistical models for anomaly detection
  • Data-driven decision making strategies
  • Machine learning in data mining
  • Data mining in finance and economics
  • Text mining and natural language processing
  • Data mining for predictive analytics
  • Integrating data mining with statistics
  • Real-time data mining applications
  • Future trends in data mining

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.