SNRI

(ICCDAMT - 27) | Hybrid Event
3rd - 4th February 2027 | Tirana, Albania

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International Conference on Computational Data Analysis and Modeling Techniques
(ICCDAMT - 27)

3rd - 4th February 2027 Tirana, Albania (Hybrid Event)

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Call for Paper

The ICCDAMT is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computational techniques for data analysis
  • Modeling approaches in data science applications
  • Big data analytics and computational methods
  • Machine learning algorithms for data modeling
  • Data visualization techniques for analysis
  • Statistical methods in computational data analysis
  • Challenges in real-time data modeling
  • Interdisciplinary approaches to data analysis
  • Future trends in computational data techniques
  • Case studies on successful data modeling
  • Ethics in data analysis and modeling
  • Innovative computational tools for data science
  • Data mining techniques for large datasets
  • Impact of AI on data analysis methods
  • User-centric design in data analysis tools
  • Applications of computational methods in business
  • Security considerations in data analysis
  • Frameworks for evaluating data modeling approaches
  • Collaborative data analysis techniques
  • Real-world applications of computational data analysis
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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