International Conference on Data Mining and Knowledge Discovery in Statistics ICDMKDS

Call For Papers

The ICDMKDS 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:

Data mining techniques in statistics

Knowledge discovery in large datasets

Statistical methods for data preprocessing

Data visualization in data mining

Mining temporal and spatial data

Statistical learning for big data

Pattern recognition in data mining

Data mining applications in healthcare

Statistical challenges in data mining

Ethics in data mining practices

Data mining for social network analysis

Statistical models for anomaly detection

Data-driven decision making strategies

Machine learning in data mining

Data mining in finance and economics

Text mining and natural language processing

Data mining for predictive analytics

Integrating data mining with statistics

Real-time data mining applications

Future trends in data mining

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