Flex Conference (Physical / Digital)

International Conference on Compute and Data Analysis - (ICCDA-27)

24th - 25th February 2027 , Chicago - USA

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Call For Papers

The (ICCDA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Data Analytics, Computational Science, Computer Software and Applications, Computer Science Engineering, Computing are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Big Data Analytics Techniques and Tools
  • Data Mining for Predictive Analytics
  • Machine Learning in Data Analysis
  • Data Visualization Methods and Best Practices
  • Cloud Computing for Data Management
  • Data Privacy and Security Challenges
  • Real-time Data Processing Techniques
  • Data Quality Assessment and Improvement
  • Applications of Data Science in Industry
  • Statistical Methods for Data Analysis
  • Data Governance and Compliance Issues
  • Data Integration from Multiple Sources
  • Ethical Considerations in Data Analysis
  • Data Analytics in Healthcare Applications
  • Text Mining and Natural Language Processing
  • Data-Driven Decision Making Strategies
  • Data Analysis in Social Media Research
  • Challenges in Big Data Implementation
  • Data Analytics for Smart Cities
  • Future Directions in Data Science Research

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.