CACS FACULTY AND THEIR RESEARCH INTERESTS

Dr. VIJAY V. RAGHAVAN

vraghavan@cacs.louisiana.edu

Distinguished Professor, Computer Science. B.Tech, Indian Institute of Technology, Madras, India, 1968; M.B.A., McMaster U., Hamilton, Canada, 1970; Ph.D., Computing Science, U. of Alberta, Edmonton, Canada, 1978.

For Dr. Raghavan's home page, click here

Dr. Raghavan's primary area of expertise is information retrieval (IR). In this field, his research activities address various approaches to designing effective retrieval systems. In particular, his current goals are to develop strategies through which an IR system can improve its performance through prior interactions with its users. The techniques involve various kinds of machine learning paradigms and the application domain includes traditional business databases as well as text and image databases. He has also investigated various aspects of evaluating information retrieval system performance.

More recently, Dr. Raghavan has been involved in designing efficient algorithms for data analysis tasks, such as predictive modelling, database segmentation and link analysis, in the context of Knowledge Discovery in Databases (KDD). Raghavan co-guest edited the September 1995 issue of the IEEE Computer magazine on "Content-Based Picture Retrieval Systems." A special issue of the J. of American Society for Information Science on "Knowledge Discovery and Data Mining," guest edited by Raghavan et al., was published in April 1998. His research activities are supported by DoE, NSF, USGS and the Louisiana Board of Regents.

PROFESSIONAL ACTIVITIES

Raghavan co-chaired the NSF Workshop on Future Directions in Information Retrieval in 1991, which subsequently led to the sponsorship of the digital library initiative by the NSF, DARPA and NASA. He has served in numerous conference committees and is currently an ACM National Lecturer. Raghavan directs the DoD component of Louisiana's Experimental Program to Stimulate Competitiveness in Research (DEPSCoR) program. He is a member of the ACM, the IEEE, the Phi Kappa Phi and the Upsilon Pi Epsilon Computer Science honor societies. Dr. Raghavan received the UL Lafayette Foundation's Distinguished Professor Award in 2001.

SELECTED PUBLICATIONS

M. Kubat, A. Hafez, V. V. Raghavan, J. Lekkala, and W. K. Chen. Itemset trees for targeted association mining. IEEE Trans. on Knowledge and Data Engineering, Vol. 15, No. 5, Sept/Oct 2003. Download PDF.
T. Johnsten and V. V. Raghavan. A methodology for hiding knowledge in databases. In Proceedings of ICDM02 Workshop on Privacy, Security and Data Mining, pages 9--18, Maebashi, Japan, Dec. 2002. Download PDF.
Y. Xie and V. V. Raghavan. Probabilistic logic-based characterization of knowledge discovery in databases. In Proceedings of ICDM02 Workshop on Foundation of Data Mining and Knowledge Discovery, pages 107--112, Maebashi, Japan, Dec. 2002. Download PDF.
Y. Xie, V. V. Raghavan, and X. Zhao. 3M algorithm: Finding an optimal fuzzy cluster scheme for proximity data. In Proceedings of the FUZZ-IEEE Conference- 2002 IEEE World Congress on Computational Intelligence, Honolulu, HI, May 2002. document.
S. Noel, V. V. Raghavan, and C. H. Chu. Visualizing association mining results through hierarchical clusters. In Proceedings of the 2001 International Conf. on Data Mining (ICDM-01), pages 425--432, San Jose, CA, Nov. - Dec. 2001. Download PDF.
J. Yoon, V. V. Raghavan, V. Chakilam, and L. Kerschberg. Bitcube: A three-dimensional bitmap indexing for XML documents. J. of Intelligent Information Systems, 17(2/3):241--254, Nov. 2001. Download PDF.
P. Bollmann-Sdorra, A. Hafez, and V. V. Raghavan. A theoretical framework for association mining based on the boolean retrieval model. In Y. Kambayashi, W. Winiwarter, and M. Arikawa, editors, Data Warehousing and Knowledge Discovery: Third International Conf., DaWaK'01), pages 21--30, Munich, Germany, Sept. 2001. Springer. Download PDF.
K. Efe, V. V. Raghavan, C. H. Chu, A. L. Broadwater, L. Bolelli, and S. Ertekin. The shape of the web and its implications for searching the web. In International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet- Proceedings at http://www.ssgrr.it/en/ssgrr2000/proceedings.htm, Rome. Italy, Jul.-Aug. 2000. Download compressed PostScript.
P.Bollamann-Sdorra and V.V.Raghavan, "On the necessity of Term Dependence in a Query Space for Weighted Retrieval," J.Amer.Soc. for Information Science, Vol.49, No.13, August 1998, pp. 1161-1168. Download PDF
V.N. Gudivada and V.V. Raghavan, "Design and Evaluation of Algorithms for Retrieval by Spatial Similarity," ACM Trans. on Information Systems, Vol.13, April 1995, pp.-115-144. Download PDF
P. Bollmann, V.V. Raghavan, "On the Delusiveness of Adopting a Common Space for Modeling IR Objects: Are Queries Documents?" J. Amer. Soc. for Information Science, Vol. 44, December 1993, pp. 579-587. Download PDF
S.K.M. Wong, W.Ziarko, V.V. Raghavan and P.C.N. Wong, ``On Modeling Information Retrieval Concepts in Vector Spaces'', ACM Trans. on Database Systems, June 1987, Vol. 12, pp. 299-321. Download PDF

Last Modified: 23 April 2003