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Call For Papers

The ICDSBDS 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 Big Data, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data science methodologies for big data
  • Big data systems architecture and design
  • Machine learning techniques for data science
  • Data preprocessing and cleaning strategies
  • Big data analytics in various industries
  • Data science applications in business intelligence
  • Ethics in data science practices
  • Data visualization in data science projects
  • Big data storage solutions and technologies
  • Collaborative data science projects
  • Real-world case studies in data science
  • Data science for predictive modeling
  • Data governance in data science initiatives
  • Emerging trends in data science research
  • Big data frameworks and tools comparison
  • Data science education and training programs
  • Big data challenges and solutions
  • Interdisciplinary approaches to data science
  • Data science for social good
  • Future directions in data science

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.