Conference by Prof. (DR.) PAWAN LINGRAS

#IEEE #IEEE_BU #Conference #AI

The event was a successful gathering of 250-300 attendees. It featured Prof.(DR.)PAWAN LINGRAS Professor SAINT MARY University,CANADA as a keynote speaker, who shared his valuable insights in ADVANCES IN ROUGH AND SOFT CLUSTERING:META-CLUSTERING, DYNAMIC CLUSTERING, DATA-STREAM CLUTERING. His presentation highlighted practical applications of these clustering techniques in areas such as recommendation systems, real-time decision-making, and data mining. He also emphasized how these advanced clustering methods can improve both the accuracy and interpretability of AI-driven systems. Dean Prof.(Dr.)Abhay Bansal appreciated and awarded the speakers and Panel Discussions added to the event's interactive and educational nature, making it a dynamic and enriching experience for all.

1.Meta-Clustering: This involves clustering algorithms that combine or stack multiple clustering solutions to enhance performance, robustness, and interpretability. Meta-clustering is essential for tasks that require multiple clustering methods or ensembles to solve intricate data problems.

2.Data-Stream Clustering: With the rise of big data and continuous data streams, clustering algorithms must handle high-speed, dynamic data flows. Data-stream clustering addresses the challenge of clustering in real-time, focusing on scalability and efficiency.