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CSC510 Course Website

Big Data and Machine Learning. Fall-2015.

Tuesday/Thursday, 1400-1515 in Petty Building 303

Dr Shanmugathasan (Shan) Suthaharan FIET
Professor of Computer Science
Department of Computer Science
University of North Carolina at Greensboro
161 Petty Building, Greensboro, NC 27412
  TP: 336 256 1122, Fax: 336 256 0439
Email: s_suthah@uncg.edu, LinkedIn Profile

My Book - Springer US

Machine learning models and algorithms for big data classification - thinking with examples for effective learning.


கலாநிதி சன்முகதாசன் சுதாகரன்

Dr Suthaharan has authored or co-authored more than seventy-five research papers in the areas of computer science, and published them in international journals and refereed conference proceedings. Some of his recent publications are listed below:

  • S. Suthaharan. 2015. Machine learning models and algorithms for big data classification - Thinking with examples for effective learning. Springer, Integrated Series in Information Systems, pp.1-358 (Textbook is in production).

  • S. Suthaharan. 2014. Big Data Classification: Problems and challenges in network intrusion prediction with machine learning, ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 70-73.

  • V. Jeyakumar, G. Li, and S. Suthaharan. 2012. Support vector machine classifiers with uncertain knowledge sets via robust convex optimization. Optimization. DOI:10.1080/02331934.2012.703667. Taylor and Francis. pp. 1-18.

  • S. Bandari, and S. Suthaharan. 2012. Intruder detection in public space using suspicious behavior phenomena and wireless sensor networks. In Proceedings of the 1st ACM International Workshop on Sensor-Enhanced Safety and Security in Public Spaces at ACM MOBIHOC, pp. 3-8.

  • S. Suthaharan, M. Alzahrani, S. Rajasegarar, C. Leckie, and M. Palaniswami. 2010. Labelled data collection for anomaly detection in wireless sensor networks. In Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing. pp. 269-274.

  • S. Suthaharan. 2009. No-reference visually significant blocking artifact metric for natural scene images. Signal Processing 89. pp. 1647-1652.

  • A. Reibman and S. Suthaharan. 2008. A no-reference spatial aliasing measure for digital image resizing. In Proceedings of the IEEE International Conference on Image Processing. pp. 1184-1187.

  • S. Suthaharan. 2007. Reduction of queue oscillation in the next generation Internet routers. Computer Communications, Elsevier, vol. 30, no. 18. pp. 3881-3891.

  • S. Suthaharan. 2004. Fragile image watermarking using a gradient image for improved localization and security. Pattern Recognition Letters 25. pp. 1893-1903.

  • S. Suthaharan. 2003. A perceptual quality metric for digital video coding. IEE Electronics Letters, vol. 39 no. 5. pp. 431-432.

The rest of Dr Suthaharan's publications, links to publication websites, citation details, and co-authors information can be found in his Google scholar profile, currently available at http://scholar.google.com/citations?user=nY9aMykAAAAJ&hl=en&oi=ao