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Call For Papers

The ICADK bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Artificial Intelligence,Data Science,Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI-driven analytics for knowledge discovery
  • Data mining techniques in AI applications
  • AI for enhancing data-driven decision making
  • Knowledge representation in AI systems
  • AI applications in business intelligence
  • Data quality assessment in AI projects
  • AI for automated data analysis
  • Ethics of AI in data analytics
  • AI in scientific research and discovery
  • AI techniques for data visualization
  • AI-powered tools for data exploration
  • Challenges in AI-driven knowledge management
  • AI for real-time data insights
  • AI applications in social sciences
  • AI in environmental data analysis
  • AI for improving data accessibility
  • AI in the context of open data
  • AI for enhancing user experience in analytics
  • Future of AI in data discovery
  • AI and data science in public policy

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.