
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), 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), 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, 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. PresentationY. 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, |