[Alsa92]
J. R. Alsabbagh and V. V. Raghavan. A framework for multiple-query optimization. In Proc. of the Second International Workshop on Research Issues on Data Engeneering: Transaction and Query Processing (RIDE-TQP), pages 255--270, Pheonix, AZ., Feb. 1992.

[Alsa94]
J. R. Alsabbagh and V. V. Raghavan. Analysis of common subexpression exploitation models in multiple query processing. In Proc. of the 10th International Conf. on Data Enginering, pages 488--497, Houston,TX., Feb. 1994.

[ADRS99]
A. H. Alsaffar, J. S. Deogun, V. V. Raghavan, and H. Sever. Concept-based retrieval with minimal term sets. In Z. W. Ras and A. Skowron, editors, Foundations of Intelligent Systems: Eleventh Int'l Symposium, ISMIS'99 proceedings, pages 114--122. Springer, Warsaw, Poland, Jun. 1999. document.

[ADRS00]
A. H. Alsaffar, J. S. Deogun, V. V. Raghavan, and H. Sever. Enhancing concept-based retrieval based on minimal term sets. J. of Intelligent Information Systems, 14(2-3):155--173, 2000. document.

[BR01]
W. Badawy and V. V. Raghavan. Interfacing the ` A bridged bayou state periodical index' with a search engine: A D ublin C ore approach. In Proceedings of 7th International Conference on Object-Oriented Information Systems (OOIS '01), Calgary, Alberta, Canada, Aug. 2001.

[Bhat91b]
S. K. Bhatia, J. S. Deogun, and V. V. Raghavan. Q uery formulation through knowledge acquisition. In Proc. of ML 91- The Eighth International Workshop on Machine Learning : Intelligent Information Retrieval track, pages 250--254, Evanston,IL, June 1991.

[Bhat91c]
S. K. Bhatia, J. S. Deogun, and V. V. Raghavan. U ser profiles for information retrieval. In Proc. on Sixth International Symposium on Methodologies for Intelligent Systems, pages 102--111, Charlotte, NC, October 1991.

[Deog95]
S. K. Bhatia, J.S. Deogun, and V. V. Raghavan. Conceptual query formulation and retrieval. Journal of Intelligent Information Systems, 5(3):183--209, November 1995.

[BDR97]
J. N. Bhuyan, J. S. Deogun, and V. V. Raghavan. Algorithms for the boundary selection problem. Algorithmica, 17:133--161, 1997.

[Bhuy91c]
J. N. Bhuyan and V. V. Raghavan. A probablistic retrieval scheme for cluster-based adaptive information retrieval. In Proc. of ML 91- The Eigth International Workshop on Machine Learning : Intelligent Information Retrieval track, pages 240--254, Evanston, IL, June 1991.

[Bhuy91a]
J. N. Bhuyan, V. V. Raghavan, and J. S. Deogun. C luster-based adaptive information retrieval. In Proceedings of the twenty-fourth Hawaii International Conference on System Sciences- Architecture and Emerging Technologies Tracks, volume I, pages 307--316, Kailua-Kona, HI, January 1991. document.

[Bhuy93]
J. N. Bhuyan, V. V. Raghavan, and J. S. Deogun. A retrieval scheme for cluster-based adaptive information retrieval based on term refinement. In Proceedings of the SPIE Applications of Artificial Intelligence Conf. 1993: Knowledge-Based Systems in Aerospace and Industry, volume 1963, pages 303--315, April 1993.

[Bhuy91d]
J. N. Bhuyan, V. V. Raghavan, and V. K. Elayavalli. G enetic algorithm for clustering with an ordered representation. In Proc. of the Fourth International Conf. on Genetic Algorithms, pages 408--415, San Diego, CA, June 1991.

[Boll91]
P. Bollmann and V. V. Raghavan. The axiomatic approach for theory developement in ir. In Working Notes of NSF Workshop on Future Directions in Text Analysis, Retrieval, and Understanding, pages 16--22, Chicago, IL, October 1991. document.

[Boll93]
P. Bollmann and V. V. Raghavan. On the delusiveness of adopting a common space for modeling ir objects: Are queries documents? J. Amer. Soc. for Information Sci., Vol. 44:pp. 579--587, December 1993. document.

[Boll92]
P. Bollmann, V. V. Raghavan, G. S. Jung, and L. C. Shu. On probabilistic notions of precision as a function of recall. Information Processing and Management, Vol. 28:291--315, May-June 1992.

[BHR01]
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. document.

[Boll94]
P. Bollmann-Sdorra and V. V. Raghavan. Vector processing model (a rebuttal to G . salton's comment on our paper `on delusiveness of adopting a common space for modeling ir objects:are queries documents?'). Journal of the Amer. soc. for Inform. Sci., 45:540--542, 1994.

[BoRa98]
P. Bollmann-Sdorra and V. V. Raghavan. On the necessity of term dependence in a query space for weighted retrieval. J. Amer. Soc. for Information Sci., 49(13):1161--1168, 1998. document.

[BSRS99]
P. Bollmann-Sdorra, V. V. Raghavan, and H. Sever. Term preference weight. In Proc. of ISCIS `99- Fourteenth International Symposium on Computer and Information Sciences, pages 360--369, Izmir, Turkey, Oct. 1999. document.

[CCCK02]
Y. Chang, I. Choi, J. Choi, M. Kim, and V. V. Raghavan. Conceptual retrieval based on feature clustering of documents. In Proceedings of ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, Tampere, Finland, Aug. 2002. document.

[CKR01]
J. Choi, M. Kim, and V. V. Raghavan. Adaptive feedback methods in an extended boolean model. In Proceedings of ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, New Orleans, LA, Sept. 2001. document.

[CDRS96]
S. K. Choubey, J. S. Deogun, V. V. Raghavan, and H. Sever. A comparison of feature selection algorithms in the context of rough classifiers. In D. H. Kraft, editor, FUZZ-IEEE '96 International Conference on Fuzzy Systems, volume 2, pages 1122--1128, New Orleans, LA, Sept. 1996. document.

[CDRS98]
S. K. Choubey, J. S. Deogun, V. V. Raghavan, and H. Sever. On feature selection and effective classifiers. J. Amer. Soc. for Information Sci., 49(4):423--434, April 1998. document.

[ChRa97a]
S. K. Choubey and V. V. Raghavan. Generic and fully automatic content based image retrieval architecture. In Proc. of the 12th International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, Oct. 1997. document.

[ChRa97c]
S. K. Choubey and V. V. Raghavan. Generic and fully automatic content-based image retrieval using color. Pattern Recognition Letters, 18:1233--1240, Nov. 1997. document.

[ChRa97b]
S. K. Choubey and V. V. Raghavan. Generic and fully automatic content based image retrieval using texture. In International Conf. on Imaging Science, Systems, and Technology, pages 228--237, Las Vegas, NV, June- July 1997. document.

[Deog91f]
J. S. Deogun, S. K. Bhatia, and V. V. Raghavan. Automatic cluster assignment for documents. In Proc. of 7th IEEE Conf. on Artificial Intelligence Applications, pages 25--28, Miami Beach, FL, February 1991.

[Deog91h]
J. S. Deogun, S. K. Bhatia, and V. V. Raghavan. Automatic identification of message destinations. In Florida AI Research Symposium, pages 140--144, Cocoa Beach, FL, April 1991.

[Deog91d]
J. S. Deogun, S. K. Bhatia, and V. V. Raghavan. Conceptual clustering in information retrieval. Technical Report 154, Department of Computer Science, University of Nebraska, Linclon, NE, July 1991.

[Deog91g]
J. S. Deogun, S. K. Bhatia, and V. V. Raghavan. Document classification using ID -3. In Proc. of 24th Simulation MultiConference on AI and Simulation: Simulation Series, volume 23, pages 133--138, New Orleans, LA, April 1991.

[report]
J. S. Deogun, E. A. Fox, M. Lesk, M. McGill, and V. V. Raghavan. Methodologies for intelligent text processing and information resources management: Achievements and opportunities, the report of the nsf invitational workshop on future directions in text analysis, retrieval and understanding. Technical Report UNL-CSE-93-007, University of Nebraska, Feb. 1993. document.

[Deog91b]
J. S. Deogun and V. V. Raghavan. Description of the UNL / USL system used for MUC -3. In Proceedings of the Third Message Understanding Conference (MUC-3), pages 234--245, May 1991.

[Deog91a]
J. S. Deogun and V. V. Raghavan. UNL / USL : MUC -3 test results and analysis. In Proceedings of the Third Message Understanding Conference (MUC-3), pages 120--128, May 1991.

[work]
J. S. Deogun and V. V. Raghavan. Proceedings of the workshop on future directions in text analysis, retrieval and understanding. Technical Report UNL-CSE-93-006, University of Nebraska, Feb. 1993.

[DRSS96]
J. S. Deogun, V. V. Raghavan, A. Sarkar, and H. Sever. Data mining: Trends in research and development. In T. Y. Lin and Nick Cercone, editors, Rough Sets and Data Mining: Analysis of Imprecise Data, pages 9--46. Kluwer Academic, 1996. document.

[DRS94b]
J. S. Deogun, V. V. Raghavan, and H. Sever. Rough set based classification methods and extended decision tables. In Proceedings of the International Workshop on Rough Sets and Soft Computing, pages 302--309, San Jose, California, 1994. document.

[RagHay95c]
J. S. Deogun, V. V. Raghavan, and H. Sever. Exploiting upper approximations in the rough set methodology. In U. M. Fayyad and R. Uthurusamy, editors, The First International Conference on Knowledge Discovery and Data Mining, pages 69--74, Montreal, Quebec, Canada, Aug. 1995. document.

[DRS98a]
J. S. Deogun, V. V. Raghavan, and H. Sever. Association mining and formal concept analysis. In JCIS Proceedings 98: RSDMGrC98- Sixth International Workshop on Rough Sets, Data Mining and Granular Computing, Vol. II, pages 335--338, Research Triangle Park, NC, Oct. 1998. document.

[DSR98]
J. S. Deogun, H. Sever, and V. V. Raghavan. Structural abstractions of hypertext documents for web-based retrieval. In Proc. of DEXA 98 - 9th International Workshop on Database and Expert Systems Applications, pages 385--390, Vienna, Austria, Aug. 1998. document.

[ERCB00]
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. document.

[ELR98]
M. C. Erie, S. M. LeBlanc, and V. V. Raghavan. Enhancing search capabilities of legacy internet resources. In InForum 98- Science at the Desktop: Synergy through Sharing, Oak Ridge, TN, May 1998. document.

[Gudi93a]
V. N. Gudivada and V. V. Raghavan. Spatial similarity based retrieval in image databases. In Proc of the 2nd Annual Symp. on Document Analysis and Information R etrieval, pages 255 -- 270, Las Vegas, NV, April 1993.

[Gudi94c]
V. N. Gudivada and V. V. Raghavan. A system for retrieving images by content. In Proc. of RIAO-94: Conf. on Intelligent Multimedia, Information Retrieval, Systems and Management, volume Vol. 1, pages 418--436, New York,NY, Oct. 1994.

[Gudi94]
V. N. Gudivada and V. V. Raghavan. Design and evaluation of algorithms for retrieval by spatial similarity. ACM Trans. on Information Systems, 13:115--144, April 1995. document.

[GuRa97]
V. N. Gudivada and V. V. Raghavan. Modeling and retrieving images by content. Information Processing \& Management, 33(4):427--452, 1997. document.

[GRGK97]
V. N. Gudivada, V. V. Raghavan, W. I. Grosky, and R. Kasanagottu. Information retrieval on the world-wide web. IEEE Internet Computing, 1(5):58--68, 1997. document.

[Gudi94b]
V. N. Gudivada, V. V. Raghavan, and G. S. Seetharaman. An approach to interactive retrieval in face image databases based on semantic attributes. In Third symposium on Document Analysis and Infromation Retrieval, pages 319--335, April 1994. document.

[Gudi95]
V. N. Gudivada, V. V. Raghavan, and K. Vanapipat. Unified approach to data modeling and retrieval for a class of image database applications. In S. Jajodia and V. S. Subrahmanian, editors, Multimedia Database Systems: Issues and Research Directions, pages 37--78. Springer-Verlag, 1995. document.

[Gudi95b]
V. N. Gudivada and V. V. Raghavan (Guest Eds.) . Content-based image retrieval systems. IEEE Computer- Special Issue, 28:18--62, Sept. 1995.

[HDR99]
A. Hafez, J. S. Deogun, and V. V. Raghavan. The item-set tree: A data structure for data mining. In Mukesh Mohania and A. Min Tjoa, editors, Data Warehousing and Knowledge Discovery: First International Conf., DaWaK'99), pages 183--192, Florence, Italy, Aug. 1999. Springer. document.

[HR01]
A. Hafez and V. V. Raghavan. A matrix approach for association mining. In Proceedings of the ISCA 10th International Conf., pages 104--108, Arlington, VA, June 2001. document.

[JR02]
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. document.

[JR99]
T. D. Johnsten and V. V. Raghavan. Impact of decision-region based classification mining algorithms on database security. In Proc. of Thirteenth IFIP WG 11.3 Working Conference on Database Security, Seattle, WA, July 1999. document.

[JR00]
T. D. Johnsten and V. V. Raghavan. Impact of decision-region based classification mining algorithms on database security. In V. Atluri and J. Hale, editors, Research Advances in Database and Information Systems Security, pages 171--191. Kluwer Academic, Norwell, MA, 2000. document.

[JR01]
T. D. Johnsten and V. V. Raghavan. Security procedures for classification mining algorithms. In Proc. of Fifteenth IFIP WG 11.3 Working Conference on Database Security, pages 293--309, Niagra on the Lake, Ontario, Canada, July 2001. document.

[JR02b]
T. D. Johnsten and V. V. Raghavan. Knowledge hiding in databases and its relationship to kdd. In Proc. of 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), Orlando, FL, July 2002. document.

[JR02a]
T. D. Johnsten, V. V. Raghavan, and K. Hill. The security assessment of association mining algorithms. In Proc. of Sixteenth IFIP WG 11.3 Working Conference on Data and Applications Security, Cambridge, England, July 2002. document.

[KADR00]
M. Kim, A. H. Alsaffar, J. S. Deogun, and V. V. Raghavan. On modeling of concept based retrieval in generalized vector spaces. In Proceedings of ISMIS2000, pages 453--462, Charlotte, N. C., Oct. 2000. document.

[KLR00]
M. Kim, F. Lu, and V. V. Raghavan. Automatic construction of rule-based trees for conceptual retrieval. In Proceedings of 7th International Symposium on String Processing and Information Retrieval- SPIRE2000, pages 153--161, A Coruna, Spain, Sept. 2000. document.

[KR00]
M. Kim and V. V. Raghavan. Adaptive concept-based retrieval using a neural network. In Proceedings of ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, published as a special issue of Technology Letters: Vol. 4, No. 1, pages 33--40, Athens, Greece, July 2000. document.

[KDR01]
M. Kim, V. V. Raghavan, and J. S. Deogun. Concept based retrieval using generalized retrieval functions. Fundamenta Informaticae, 47(1-2):119--135, 2001. document.

[KHRL02]
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, 2002. document.

[LJRT99]
F. Lu, T. D. Johnsten, V. V. Raghavan, and D. Traylor. Enhancing internet search engines to achieve concept-based retrieval. In InForum'99- Improving the Visibility of R \& D Information, Oak Ridge, TN, May 1999. document.

[Mish94]
S. K. Mishra and V. V. Raghavan. Design issues in randomized branch and bound algorithms: A study of graph partitioning. In Proc. of the IFIP World Congress '94, pages 276--281, Hamburg, FRG., Sept. 1994.

[Mish94b]
S. K. Mishra and V. V. Raghavan. An empirical study of the performance of heuristic methods for clustering. In in E. S. Gelsema and L. N. Kanal (Eds.), editors, proc. of Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems, pages 425--436, Vlieland, NL., June 1994.

[Mish91]
S. K. Mishra, V. V. Raghavan, and N. F. Tzeng. Efficient algorithms for selection of recovery points in tree task models. IEEE Trans. on Software Engineering, Vol. SE-17:pp. 731--734, July 1991.

[NCR02a]
S. Noel, C. H. Chu, and V. V. Raghavan. Visualization of document co-citation counts. In Proceedings of 6th International Conference on Information Visualization, pages 691--696, London, England, July 2002. document.

[NRC01]
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. document.

[PRV95]
N. Pissinou, V. V. Raghavan, and K. Vanapipat. Rimm: A reactive multidatabase integration model. Informatica- An International J. of Computing and Informatics, Vol. 19(2):177--194, 1995.

[RDS98]
V. V. Raghavan, J. S. Deogun, and H. Sever. Data mining: Trends and issues- guest editors' introduction. J. Amer. Soc. for Information Sci., 49(4):397--402, April 1998. document.

[Ragh91]
V. V. Raghavan, V. N. Gudivada, and A. S. Katiyar. Discovery of conceptual categories in an image database. In Proc. of RIAO-91: Conf on Intelligent Text and Image Handling, pages 902--915, Barcelona, Spain, April 1991.

[HR00]
V. V. Raghavan and A. Hafez. Dynamic data mining. In R. Loganantharaj, G. Palm, and M. Ali, editors, Intelligent Problem Solving- Methodologies and Approaches: Proc. of Thirteenth International Conference on Industrial Engineering Applications of AI & Expert Systems, pages 220--229. Springer, Newyork, N.Y., June 2000. document.

[RagHay95b]
V. V. Raghavan and H. Sever. On the reuse of past optimal queries. In E. A. Fox, editor, Proceedings of ACM SIGIR'95 , pages 344--350, Seattle, WA, July 1995. document.

[RagHay95]
V. V. Raghavan and H. Sever. The state of rough sets for database mining applications. In T. Y. Lin, editor, Proceedings of 23rd Computer Science Conference Workshop on Rough Sets and Database Mining, pages 1--11, San Jose State University, San Jose, CA, Mar. 1995. document.

[RSD93]
V. V. Raghavan, H. Sever, and J. S. Deogun. A system architecture for database mining applications. In International Workshop on Rough Sets and Knowledge Discovery (RSKD '93), pages 73--77, Banff, Canada, October 1993. document.

[RSD94]
V. V. Raghavan, H. Sever, and J. S. Deogun. A system architecture for database mining applications. In W. P. Ziarko, editor, Rough Sets, Fuzzy Sets and Knowledge Discovery, Workshops in Computing Series, pages 82--89. Springer-Verlag, 1994. document.

[SRDC97]
H. Sever, V. V. Raghavan, J. S. Deogun, and S. K. Choubey. A comparison of classification methods. In International Conf. of Information Sciences- Rough Set \& Computer Science, volume 3, pages 371--374, Raleigh, NC, Mar. 1997. document.

[SRJ98]
H. Sever, V. V. Raghavan, and T. D. Johnsten. The status of research on rough sets for knowledge discovery in databases. In S. Sivasundaram, editor, Proc. of ICNPAA98- Second Int'l Conf. On Nonlinear Problems in Aviation and Aerospace, volume 2, pages 673--680. Daytona Beach, FL, Apr.- May 1998. document.

[SR02]
B. N. Shah and V. V. Raghavan. An approach to content-based image retrieval using clustering and space transformation. In Proceedings of Workshop on Multimedia Information Retrieval- MIR02, Juan les Pins, France, Dec. 2002. document.

[TaRa99]
N. Tadayon and V. V. Raghavan. Improving perceptron convergence algorithm for retrieval systems. Pattern Recognition Letters, 20(11-13):1331--1336, Nov. 1999. document.

[VPR95]
K. Vanapipat, N. Pissinou, and V. V. Raghavan. A dynamic framework to actively support interoperability in multidatabase systems. In Proc. of the Fifth International Workshop on Research Issues on Data Engineering: Distributed Object Management (RIDE-DOM), pages 148--153, Taipei, Taiwan, March 1995.

[XR02]
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. document.

[XRZ02]
Y. Xie, V. V. Raghavan, and X. Zhao. 3 M 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.

[YRC01a]
J. Yoon, V. V. Raghavan, and V. Chakilam. Bitcube: A three-dimensional bitmap indexing for XML documents. In Proc. of 13th International conf. on Scientific and Statistical Database Management, pages 158--167, Fairfax, VA, July 2001. document.

[YRC01b]
J. Yoon, V. V. Raghavan, and V. Chakilam. Bitmap indexing based clustering and retrieval of XML documents. In Proceedings of ACM SIGIR Workshop on Mathematical/Formal Methods in Information Retrieval, New Orleans, LA, Sept. 2001. document.

[YRCK01]
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. document.

[YHR00]
J. P. Yoon, A. Hafez, and V. V. Raghavan. Query rewriting for multimedia XML data. In Proceedings of the 6th International Workshop on Multimedia Information Systems (MIS'00), pages 62--71, Chicago, IL, Oct. 2000. document.

[YR00]
J. P. Yoon and V. V. Raghavan. Multi-level schema extraction for heterogeneous semi-structured data. In First International Conference on Web-Age Information Management, pages 411--422, Shanghai, PRC, June 2000. document.

[Zhan91]
Y. Zhang, V. V. Raghavan, and J. S. Deogun. An object-oriented modeling of history of optimal retrievals. In Proc. of the 14th Int'l. ACM-SIGIR Conf. on Research and Development in Information Retrieval, pages 241--250, Chicago, IL, Oct 1991. \end thebibliography