International Conference on Big Data, Machine Learning and Intelligent Computing
About This Conference
The International Conference on Big Data, Machine Learning and Intelligent Computing brings together researchers from data engineering, machine learning, and artificial intelligence to address the challenges and opportunities presented by large-scale data environments. The conference explores how intelligent computing methods can extract meaningful knowledge from massive, heterogeneous, and streaming data sources, covering topics from scalable ML algorithms and distributed data processing to knowledge graphs, data quality, and the deployment of AI pipelines at enterprise scale. The event serves as a vibrant crossroads for researchers advancing the foundations and applications of intelligent big data systems.
Call for Papers
Original papers are invited on big data architectures and processing frameworks, scalable machine learning, deep learning for large datasets, data mining, stream processing, knowledge graphs, data integration and quality, intelligent data analysis, and applications of big data and AI in domains such as healthcare, smart cities, finance, and cybersecurity. Both systems papers and algorithmic contributions are welcome.
Details
Start Date
Sep 28, 2026
End Date
Sep 30, 2026
Deadline
Jun 28, 2026
Format
In-Person
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