Kanishka Bhaduri
About
Kanishka Bhaduri has authored 23 papers that have received a total of 430 indexed citations.
This includes 19 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Signal Processing. The topics of these papers are Adaptation to Concept Drift in Data Streams (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Data Management and Algorithms (5 papers). Kanishka Bhaduri is often cited by papers focused on Adaptation to Concept Drift in Data Streams (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Data Management and Algorithms (5 papers) and collaborates with scholars based in United States, Israel and France. Kanishka Bhaduri's co-authors include Kamalika Das, Hillol Kargupta, Chris Giannella, Ran Wolff and Bryan Matthews and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and Data Mining and Knowledge Discovery
In The Last Decade
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