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Call For Papers

The ICPABD 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:

  • Predictive analytics techniques and methodologies
  • Big data applications in forecasting
  • Machine learning for predictive modeling
  • Data-driven strategies for risk management
  • Predictive analytics in finance and banking
  • Healthcare predictive analytics and insights
  • Customer behavior prediction using analytics
  • Real-time predictive analytics applications
  • Ethics in predictive analytics practices
  • Predictive analytics for marketing strategies
  • Challenges in implementing predictive analytics
  • Case studies in predictive analytics success
  • Data visualization for predictive insights
  • Big data tools for predictive analytics
  • Collaborative approaches to predictive modeling
  • Predictive analytics in supply chain management
  • Future trends in predictive analytics
  • Data governance in predictive analytics projects
  • Predictive maintenance analytics in industries
  • Emerging technologies in predictive analytics

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.