Research Interests Publications Presentations Professional Activities
RESEARCH PROFILE
Research Interests
Publications
Thesis
  1. P. Desikan Efficient computation of first-order Markov models on large evolving graphs. PhD thesis, Department of Computer and Information Science, University of Minnesota, 2009.
Articles in journal /Lecture notes in Computer Science (Peer-reviewed)
  1. C. DeLong, P. Desikan, J. Srivastava. User Navigation Guidance in Knowledge-Dense Environment. A Special Issue of Journal of ACM Transactions on Computer-Human Interaction (under consideration), 2008.

  2. C. DeLong, P. Desikan, J. Srivastava. USER User-Sensitive Expert Recommendations for Knowledge-Dense Environment. Advances in Web Mining and Web Usage Analysis, Vol. 4198, pp. 77-95, 2006.

  3. P. Desikan, J. Srivastava. Mining Temporally Changing Web Usage Graphs. Advances in Web Mining and Web Usage Analysis, Vol. 3932, pp. 1-17, 2006..
Conference / Workshop articles
  1. P. Desikan and J. Srivastava. I/O efficient computation of First Order Markov Measures for Large and Evolving Graph. In Proceedings of WebKDD, Las Vegas, 2008.

  2. P. Desikan, N. Pathak, J. Srivastava and V. Kumar. Divide and Conquer Approach for Efficient PageRank Computation. In International Conference on Web Engineering, Palo Alto, July 2006.

  3. S. Mane, P. Desikan, and J. Srivastava. From Clicks to Bricks: CRM Lessons from E-commerce. 2nd Annual Statistical Challenges in Electronic Commerce Research Symposium, May 2006.

  4. D . Padmanabhan, P. Desikan, J. Srivastava, K. Riaz. WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs. In Proceedings of IEEE/ACM Conference on Web Intelligence, September 2005.

  5. C. DeLong, P. Desikan and J. Srivastava. USER (User Sensitive Expert Recommendation): What Non-Experts NEED to Know. In Proceedings of WebKDD, August 2005.

  6. P. Desikan, N. Pathak, J. Srivastava and V. Kumar. Incremental PageRank Computation on Evolving Graphs. In Proceedings of Fourteenth International World Wide Web Conference , May 10-14, 2005, in Chiba, Japan.

  7. P. Desikan and J. Srivastava. Analyzing Network Traffic to Detect E-Mail Spamming Machine. In Proceedings of ICDM Workshop on Privacy and Security Aspects of Data Mining, Brighton, UK, November 2004.

  8. P. Desikan and J. Srivastava. Mining Temporally Evolving Graphs. In Proceedings of WebKDD, Seattle, 2004.
Book chapters
  1. P. Desikan, C.DeLong, S. Mane, K. Beemanapalli, K. Hsu, P. Sriram, J. Srivastava, V. Venuturumilli. Web Mining for Business Computing. In Handbook in Information Systems, 2009.

  2. P. Desikan, C. DeLong, K .Beemanapalli, A .Bose and J. Srivastava. Web Mining For Self Directed E-Learning. In Data Mining for E-Learning, WIT Press 2006.

  3. J. Srivastava, P. Desikan and V. Kumar. Web Mining – Concepts, Applications and Research Directions. In Recent Advances in Data Mining and Granular Computing (mathematical aspects of knowledge discovery), T.Y. Lin and Wesley Chu, eds., Springer-Verlag, 2005.

  4. J. Srivastava, P. Desikan and V. Kumar. Web Mining – Concepts, Applications and Research Directions. In Data Mining: Next Generation Challenges and Future Directions, MIT/AAAI 2004.
Technical reports
  1. P. Desikan, D. Haggerty, C.Bonta and J. Srivastava. Infobionics Server – the next generation database. Technical report, Department of Computer Science, University of Minnesota,TR 08-042. 2008.

  2. B. Gelfand and P. Desikan. The runaway Data Independence: case for Cellular Data Model. White Paper,Infobionics Inc, 2007.

  3. P. Desikan and J. Srivastava. Time Series Analysis and Forecasting Methods for Temporal Mining of Interlinked Documents. AHPCRC Technical Report TR-2003-120, Army High Performance Computing and Research Center, 2003.

  4. P. Desikan and J. Srivastava. Hyperlink Analysis: Techniques and Applications. AHPCRC Technical Report TR-2003-120, Army High Performance Computing and Research Center, 2003.

Presentations
  1. I/O efficient computation of First Order Markov Measures for Large and Evolving Graphs. WebKDD, Las Vegas, 2008.

  2. Divide and Conquer Approach for Efficient PageRank Computation. International Conference on Web Engineering, Stanford Linear Accelarator Center, Palo Alto, July 2006.

  3. From Clicks to Bricks: CRM Lessons from E-commerce. 2nd Annual Statistical Challenges in Electronic Commerce Research Symposium, Carlson School of Management, Minneapolis, MN, May 2005.

  4. Link Analysis for Web Mining. Computer Science Colloquium, Department of Mathematics, Statistics and Computer Science, University of Wisconsin – Stout, December 2005.

  5. Mining Temporally Evolving Graphs. WebKDD, Seattle, 2004.

  6. Analyzing Network Traffic to Detect E-Mail Spamming Machines. ICDM Workshop on Privacy and Security Aspects of Data Mining, Brighton, UK, November 2004.

  7. Link Analysis for Evolving Graphs. Invited Talk, International Institute of Information Technology, Hyderabad, India, December 2004.

Professional Activities
Professional Affiliations and Activities

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