International Conference on Machine Learning for IT Infrastructure and Big Data ICMLITIBD

Call For Papers

The ICMLITIBD 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, Machine Learning, Information Technology , encouraging applied research, case studies, and industry-driven innovations.

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

Machine learning algorithms for big data

Infrastructure challenges in machine learning

Big data processing frameworks comparison

Scalable machine learning techniques

Machine learning for data-driven IT solutions

Optimizing IT infrastructure with ML

Real-time analytics using machine learning

Machine learning in cloud environments

Data preprocessing for machine learning models

Ethical considerations in machine learning

Machine learning for IT service optimization

Big data analytics in machine learning

Applications of deep learning in IT

Machine learning model evaluation techniques

Big data storage solutions for ML

Federated learning in big data contexts

Transfer learning for big data applications

Machine learning for anomaly detection

Big data governance in machine learning

Future directions in ML for IT

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