International Conference on Big Data Analytics and Statistical Modeling ICBDASM

Call For Papers

The ICBDASM 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 , encouraging applied research, case studies, and industry-driven innovations.

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

Big data analytics techniques and tools

Statistical modeling for large datasets

Data mining and statistical methods

Machine learning applications in big data

Statistical challenges in big data

Predictive analytics in business intelligence

Big data visualization techniques

Statistical methods for real-time data

Applications of big data in healthcare

Big data ethics and privacy concerns

Statistical modeling in social media analysis

Big data applications in finance

Data quality and statistical reliability

Statistical methods for streaming data

Big data and machine learning integration

Statistical analysis of network data

Big data applications in environmental science

Statistical techniques for unstructured data

Big data in education and research

Future trends in big data analytics

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