Publications

 

Journal & Book Chapters

 

1. Ying Xie and V. V. Raghavan, Language-Modeling Kernel Based Approach for Information Retrieval, Journal of the American Society for Information Science and Technology, 58(14):2353–2365, 2007. [pdf] 

 

2. Ying Xie,  J. Katukuri, V. V. Raghavan, T Presti, Conceptual Biology Research Supporting Platform:  Current Design and Future Directions,  Applications of Computational Intelligence in Biology: Current Trends and Open Problems (Editors: Tomasz G. Smolinski, Mariofanna M. Milanova, Aboul-Ella Hassanien), Springer-Verlag Berlin Heidelberg, to appear.

 

3. Ying Xie and V. V. Raghavan, A Probabilistic Logic-based Framework for Characterizing knowledge Discovery in Databases, Foundations of Data Mining and Knowledge Discovery (Editors: T. Y. Lin, S. Ohsuga, C. J. Liau, S. Tsumoto), Springer-Verlag Berlin Heidelberg, pp. 87-100, ISBN 3-540-26257-1, 2005.

 

4. Ying Xie, V. V. Raghavan, P. Dhatric and X. Zhao, A New Fuzzy Clustering Algorithm For Optimally Finding Granular Prototypes, International Journal of Approximate Reasoning, Vol. 40, Issues1-2, pp.109-124, July 2005. 

 

5. H. Haddad, Ying Xie, Wrapper-Based Framework for Domain-Specific Software Reuse, Journal of Information Science and Engineering, Vol. 22 (2), pp. 269-282, 2006.

 

 

Conferences

 

6.  Ying Xie, M. Nagarajan, V.V. Raghavan, and Hisham Haddad,  On Novelty Evaluation of Potentially Useful Patterns, Proceedings of the 2006 International Conference on Data Mining, Las Vegas, June, 2006.

 

7.  Ying Xie,  T. Johnsten, V.V. Raghavan, and K. Ramachandran,  On Discovering “Potentially Useful” Patterns from Databases, Proceedings of the 2006 IEEE International Conference on Granular Computing,  Atlanta, May, 2006. 

 

8. Ying Xie and V. V. Raghavan, A Theoretical Framework For Knowledge Discovery in Databases Based on Probabilistic Logic. Proceedings of RSFDGrC'2003 (9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing), Chongqing, China, Oct. 2003.

 

9. Ying Xie, T. Johnsten and V. V. Raghavan, Knowledge Hiding in Databases for Concept-based Data Mining Algorithms, Proceedings of WISICT04 Workshop on Security Procedures' Effects on Network Communication (SPENC), Cancun, Mexico, Jan. 2004.

 

10. Ying Xie and V. V. Raghavan, Probabilistic logic-based characterization of knowledge discovery in databases. Proceedings of ICDM02 Workshop on Foundation of Data Mining and Knowledge Discovery, pages 107--112, Maebashi, Japan, Dec. 2002.

 

11. Ying Xie, V. V. Raghavan and X. Zhao, 3M algorithm: Finding an optimal fuzzy cluster scheme for proximity data. Proceedings of the FUZZ-IEEE Conference- 2002 IEEE World Congress on Computational Intelligence, Honolulu, HI, May 2002.

 

12. Ying Xie and V. V. Raghavan, GAMInG - A Framework for Generalization of Association Mining via Information Granulation, 4th International Conference on Rough Sets and Current Trends in Computing 2004 (RSCTC'2004), Uppsala, Sweden, June 2004.

 

13. J. Deogun, L. Jiang, Ying Xie and V. V. Raghavan, Probability Logic Modeling of Knowledge Discovery in Databases, 14th International Symposium on Methodologies for Intelligent System (ISMIS 2003), Maebashi, Japan, Oct., 2003.

 

14. Ying Xie, D. Mundluru, V. V. Raghavan, Incorporating Agent Based Neural Network Model for Adaptive Meta-Search, ACMSE’05, Kennesaw, GA, March, 2005.

 

15. Ying Xie, A. Ravichandran, H. Haddad,  Capturing Concepts and Detecting Concept-drift from Potential Unbounded, Ever-evolving and High-dimensional Data Streams, ICDM2005 Workshop on Foundations of Semantic Oriented Data and Web Ming, Houston, November, 2005.

 

16. T. Y. Lin,  Ying Xie,  Editor of  Proceedings of  ICDM2005 Workshop on Foundations of Semantic Oriented Data and Web Ming, Houston, November, 2005.

 

Presentation

 

Y. Xie, “Knowledge Hiding in Databases: A Methodology for Database Security”, Workshop on Cyber Security, University of Louisiana at Lafayette, September, 2003.

 

V. V. Raghavan,  Y. Xie, Automatically Generating Biomedical Hypotheses for Potential Experimental Validation, Bioinformatics Symposium,  University of Louisiana at Lafayette, April, 2004.