International Conference on Recent Data Mining  - (ICRDM-25)


16th - 17th August, 2025 | Vatican City, Vatican City

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

17th July, 2025

Paper Submission Deadline

27th July, 2025

Last Date Of Registration

1st August, 2025

Date Of Conference

16th - 17th August, 2025

Downloads

Call For Paper

The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

Engineering

  • Advanced Data Mining Techniques
  • Scalable data preprocessing and cleaning techniques
  • Social network mining
  • Social search and analysis
  • Collective intelligence in the social Web
  • Parallel and distributed data mining algorithms
  • Mining on data streams
  • Graph and subgraph mining
  • Methodologies on large-scale data mining
  • Text, video, multimedia data mining
  • Web mining
  • High performance data mining algorithms
  • Modeling complex social systems
  • Evolution of social communities and social media
  • Collaborative filtering in social networks
  • Data mining visualization
  • Security and privacy issues
  • Competitive analysis of mining algorithms
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  • Advanced Data Mining Applications
  • Data mining systems in finance, sciences, retail, e-commerce
  • Emerging applications of large-scale data mining
  • Empirical study of data mining algorithms
  • Parallel data mining applications
  • DNA sequencing, bioinformatics, genomics, and biometrics
  • E-commerce and Web services
  • Medical informatics
  • Disaster prediction
  • Financial market analysis
  • Intelligent system
  • Application of data mining in education

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