International Conference on Data Analytics and Predictive Modeling Techniques ICDAPMT

Call For Papers

The ICDAPMT 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 Statistics, Data Science , encouraging applied research, case studies, and industry-driven innovations.

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

Predictive modeling techniques in analytics

Data analytics for business intelligence

Statistical methods for predictive analytics

Machine learning in predictive modeling

Big data analytics for decision making

Predictive analytics in healthcare

Data visualization for predictive insights

Statistical modeling for customer behavior

Predictive analytics in marketing strategies

Data-driven approaches to risk management

Predictive modeling for financial forecasting

Real-time predictive analytics applications

Ethics in predictive modeling practices

Statistical techniques for anomaly detection

Data analytics for operational efficiency

Predictive analytics in social sciences

Integrating predictive modeling with AI

Future trends in predictive analytics

Statistical learning for predictive insights

Applications of predictive modeling in industry

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

Registration

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

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Publication

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

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Hybrid Event