Vikram Pudi

Assistant Professor
International Institute of Information Technology
Hyderabad, India
We cannot prove that we cannot prove.
–myself!
 

Research Interests

My interests are in the areas of Data Mining, Database Systems and Artificial Intelligence. But actually, I like to work on almost any high impact problem that is simple to state and difficult to solve.

Informal Tutorial Articles

Refereed Publications

  1. FISH: A Practical System for Fast Interactive Image Search in Huge Databases. P. Tandon, P. Nigam, V. Pudi and C. V. Jawahar. To appear in Proc. of ACM Intl. Conference on Image and Video Retrieval (CIVR-08), Niagara Falls, Canada, July 2008.
  2. Uniqueness Mining. P. Rohit, H. Kumar and V. Pudi. In Proc. of Intl. Conf. on Database Systems for Advanced Applications (DASFAA-08), New Delhi, India, March 2008.
  3. Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. J. Natraj, V. Pudi and C. V. Jawahar. In Proc. of Intl. MultiMedia Modeling Conference (MMM-07), Singapore, January 2007.
  4. ACME: An Associative Classifier based on Maximum Entropy. R. Thonangi and V. Pudi. In Proc. of Intl. Conf. on Algorithmic Learning Theory (ALT-05), Singapore, October 2005.
  5. Using Prefix Trees for Efficiently Computing Set Joins. R. Jampani and V. Pudi. In Proc. of Intl. Conf. on Database Systems for Advanced Applications (DASFAA-05), Beijing, China, April 2005.
  6. ARMOR: Association Rule Mining based on ORacle. V. Pudi and J. Haritsa. In Proc. of ICDM Workshop on Frequent Itemset Mining Implementations (FIMI-03), Melbourne, Florida, USA, November 2003.
    published as
    CEUR Workshop Proceedings, Deutsche Bibliothek, Vol. 90, eds. B. Goethals and M. Zaki.
  7. Reducing Rule Covers with Deterministic Error Bounds. V. Pudi and J. Haritsa. In Proc. of Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-03), Seoul, South Korea, May 2003.
  8. Generalized Closed Itemsets: A Technique for Improving the Conciseness of Rule Covers (poster). V. Pudi and J. Haritsa. In Proc. of Intl. Conf. on Data Engineering (ICDE-03), Bangalore, India, March 2003.
  9. On the Efficiency of Association-rule Mining Algorithms. V. Pudi and J. Haritsa. In Proc. of Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 2002.
  10. How Good are Association-Rule Mining Algorithms (poster). V. Pudi and J. Haritsa. In Proc. of Intl. Conf. on Data Engineering (ICDE-02), San Jose, California, USA, February 2002.
  11. Quantifying the Utility of the Past in Mining Large Databases. V. Pudi and J. Haritsa. In Information Systems, Elsevier Science Ltd., July 2000. (postscript format: much smaller file size)
My Erdos number is 4.

Teaching

Since 2004 at IIIT Hyderabad, I have taught courses on a wide range of topics:
  1. Data Warehousing & Data Mining
  2. Artificial Intelligence
  3. Scripting Languages (Unix-shell, Python, Sed, Awk)
  4. Software Technologies
  5. Digital Logic Design
  6. Advanced Problem Solving (i.e. C, Data Structures, Algorithms)
  7. Human Values

Education

I did my schooling at the Lawrence School, Lovedale, a beautiful historic school in Ooty. Here is a picture of my school. I did my graduation (B.Tech in Computer Science & Engg) from Jawaharlal Nehru Technological University (JNTU) in Hyderabad and completed my Ph.D on the Efficient Discovery of Concise Association Rules from Large Databases (advisor: Prof. Jayant Haritsa) at the Indian Institute of Science(IISc), Bangalore.

Other Interests

I like Carnatic music - I can't sing, but I play Veena. I enjoy practicing Yoga asanas. Sometimes I get hooked onto Computer games. I also enjoy philosophy. See the following articles that I have written - The Greatest Argument of All and To Feel Good, Do Good!.

Don't read this if you have a weak heart - Human race in Danger!

Interesting Links

Vikram Pudi

Assistant Professor,
Centre for Data Engineering
International Institute of Information Technology (IIIT)
Gachibowli, Hyderabad 500019
India