Computer Science Publications

GrinsteinDr. Grinstein

  1. Laskowski S., G. Grinstein (2000). Requirements for Benchmarking the Integration of Visualization and Data Mining, in Information Visualization in Data Mining and Knowledge Discovery, Morgan-Kaufmann Publishers.
  2. Grinstein G., P. Hoffman, S. Laskowski, R. Pickett (2000). Benchmark Development for the Evaluation of Visualization for Data Mining, in Information Visualization in Data Mining and Knowledge Discovery, Morgan-Kaufmann Publishers.
  3. Hoffman, P., G. Grinstein (2000). Multidimensional Information Visualizations for Data Mining with Applications for Machine Learning Classifiers, in Information Visualization in Data Mining and Knowledge Discovery, Morgan-Kaufmann Publishers.
  4. Meneses, C., G. Grinstein (2001). Visualization for Enhancing the Data Mining Process, Proceedings of SPIE, Data Mining and Knowledge Discovery: Theory, Tools, and Technology III Conference, 15th Annual International Symposium, Vol 4384, Orlando, Florida.
  5. Grinstein, G., M. Trutschl, U. Cvek (2001). High-Dimensional Visualizations, in Proceedings of the Visual Data Mining Workshop, KDD'2001.
  6. Grinstein, G., B. Jessee, P. Hoffman, A. Gee, and P. O’Neil (2001).  High Dimensional Visualization Support for Data Mining Gene Expression Data, in DNA Arrays: Technologies and Experimental Strategies, CRC Press LLC, Florida.
  7. Grinstein, G. and C. Meneses, (2001). Visual Data Exploration in Massive Data Sets, in Information Visualization in Data Mining and Knowledge Discovery, Morgan-Kaufmann Publishers.
  8. Fayyad U., G. Grinstein, A. Wierse (2001).  Information Visualization in Data Mining and Knowledge Discovery, Morgan-Kaufmann Publishers. 
  9. Lee, J.P., D. Carr, G. Grinstein, J. Kinney, J. Saffer (2002). The Next Frontier for Bio-and Cheminformatics, IEEE Computer Graphics and Applications, 22, No. 5, pp 6-11.

LivingstonDr. Livingston

  1. Ludwig, J., G. R. Livingston, E. Vozalis, B.G.  Buchanan. (2000). What's New? Using Prior Models as a Measure of Novelty in Knowledge Discovery.  Proceedings of the Twelfth IEEE International Conference on Tools with Artificial Intelligence, Vancouver, British Columbia, Canada. 
  2. Livingston, G. R., J. M. Rosenberg, B.G. Buchanan. (2001). Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform. In Proceedings of the 2001 IEEE International Conference on Data Mining,  San Jose, CA. IEEE Computer Society Press, pp. 385-392.
  3. Livingston, G. R., J.M. Rosenberg, B.G. Buchanan. (2001). Closing the Loop: Heuristics for Autonomous Discovery. In Proceedings of the 2001 IEEE International Conference on Data Mining,  San Jose, CA. IEEE Computer Society Press, pp. 393-400.
  4. Philips, J. P., G.R. Livingston, B.G. Buchanan. (2001). Toward a Computational Model of Hypothesis Formation and Model Building in Science. To appear in Model-Based Reasoning: Scientific Discovery, Technological Innovation, Values-Proceedings of the 2001 Conference on Model-Based Reasoning in Scientific Discovery, edited by L. Magnani and N. Nersessian, Kluwer.
  5. Livingston, G., J. Rosenberg, B.G. Buchanan (2002). An Agenda- and Justification-Based Framework for Discovery Systems. Journal of Knowledge and Information Systems. In Press.
  6. Buchanan, B. G. and G. R. Livingston.  (2003). Toward Automated Discovery in the Biological Sciences. AI Magazine. In Press.
  7. Ganchev, P. and G. R. Livingston. (2003). Using Domain Semantics to Reduce Rule Set Redundancy. Two page research abstract submitted to the 2003 International Joint Conference on Artificial Intelligence.
  8. Ganchev, P., G. R. Livingston, B. G. Buchanan. (2003). Using Ontological Information to Reduce Redundancy in Rule Sets. Submitted to the 2003 International Conference on Knowledge Discovery and Data Mining.

WangDr. Wang

  1. D.-Z. Du, P. Pardolas, J. Wang, editors. (2000). Discrete Mathematical Problems with Medical Applications, American Mathematical Society Press, ISBN 0-8218-2096-6.
  2. D. Chen, J. Wang, X. Wu. (2001). Image segmentation with monotonicity and smoothness constraints. In Proceedings of the 12th International Symposium on Algorithms and Computation, Lecture Notes in Computer Science, Vol. 2223, pages 467-479, Springer-Verlag.
  3. M. Li, J. Wang. (2001). AntiHACK: an automated system against hacking. In Proceedings of the 9th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pages 213-218, IEEE Computer Society Press. 
  4. D.Z. Chen, J. Wang, X. Wu. Image segmentation with asteroidality tubularity and smoothness constraints. International Journal of Computational Geometry and Applications 12(5):413-428, 2002.
  5. K. Sivalingam, J. Wang, X. Wu, and M. Mishra. (2002) An interval-based scheduling algorithm for optical WDM star networks, Photonic Network Communications, 4(1):73-87.
  6. J. Wang, (2001) Computing and Combinatorics, Lecture Notes in Computer Science, Vol. 2108, Springer-Verlag,. ISBN 3-540-42494-6. 
  7. D.-Z. Du, K.-I. Ko, and J. Wang. (2002) Introduction to Computational Complexity, New Frontiers of Sciences Series, Higher Education Press. ISBN 7-04-0111307-4.
  8. J. Wang. Complete on average Boolean satisfiability. Journal of Comoplexity, In press.

ChenDr. Chen

  1. Anuradha Gali, Cindy X. Chen, Kajal T. Claypool and Rosario Uceda-Sosa, "From Ontology to Relational Databases", in Proceedings of International Workshop on Conceptual Model-directed Web Information Integration and Mining (CoWIMM'04), Beijing, China, Nov., 2004.
  2. Rosario Uceda-Sosa, Cindy X. Chen and Kajal T. Claypool, "Framework to Design Ontology Views", in Proceedings of the 23rd International Conference on Conceptual Modeling (ER'04), Beijing, China, Nov., 2004. 
  3. Cindy X. Chen, Haixun Wang, and Carlo Zaniolo, "Toward Extensible Spatio-Temporal Databases: an approach based on User-Defined Aggregates", in Flexible querying and reasoning in spatio-temporal databases: theory and applications, Springer Geosciences/Geoinformation series, 2004. 
  4. Cindy X. Chen, Jiejun Kong and Carlo Zaniolo, "Design and Implementation of a Temporal Extension of SQL", in Proceedings of the 19th International Conference on Data Engineering (ICDE'03), pages 689-691, Bangalore, India, March, 2003. 
  5. Cindy X. Chen, "Data Models and Query Languages of Spatio-Temporal Information", Ph.D. Dissertation, February, 2001. 
  6. Cindy X. Chen and Carlo Zaniolo, "SQLST: A Spatio-Temporal Data Model and Query Language", in Proceedings of the 19th International Conference on Conceptual Modeling (ER'00), pages 96-111, Salt Lake City, Utah, October, 2000.
  7. Cindy X. Chen and Ashok Malhotra, "XML Queries via SQL", in Proceedings of the 1st International Conference on Web-Age Information Management (WAIM'00), pages 53-60, Shanghai, China, June, 2000. 
  8. Cindy X. Chen and Carlo Zaniolo, "Universal Temporal Extensions for Data Languages", in Proceedings of the 15th International Conference on Data Engineering (ICDE'99), pages 428-437, Sydney, Australia, March, 1999.
  9. Cindy X. Chen and Carlo Zaniolo, "Universal Temporal Data Languages", in Proceedings of the 6th International Workshop on Deductive Databases and Logic Programming (DDLP'98), pages 113-126, Manchester, UK, June, 1998.

DanielsDr. Daniels

  1. Daniels, K., Liu, S., Widhani, S., and Chandra, K. Dynamic Channel Assignment with Cumulative Cochannel Interference. In ACM SIGMOBILE's Mobile Computing and Communications Review, vol. 8, no. 4, October, 2004, p. 4-18. See simulation input files.
  2. Grinde, R.B., and Daniels, K. M. Solving an Apparel Trim Placement Problem using a Maximum Cover Problem Approach. In Institute of Industrial Engineers (IIE) Transactions, vol. 31, no. 8, August, 1999, p. 763-769.
  3. Milenkovic, V.J. and Daniels, K.M., Translational Polygon Containment and Minimal Enclosure using Mathematical Programming . In International Transactions in Operational Research special issue with papers from IFORS '96, 6:525-554, 1999. 
  4. Daniels, K.M., Milenkovic, V.J., and Roth, D., Finding the Maximum Area Axis-Parallel Rectangle in a Simple Polygon. In Computational Geometry: Theory and Applications, vol. 7, January, 1997, p.125-148. Slides for a talk about this work are here in PowerPoint.
  5. Daniels, K.M., and Milenkovic, V.J., Multiple Translational Containment. Part I: An Approximate Algorithm. In Algorithmica special issue on Computational Geometry in Manufacturing, vol. 19, 1997, p. 148-182.
  6. Daniels, K.M., Bergeron, R.D., and Grinstein, G., Line-Monotonic Partitioning of Planar Cubic B-Splines. In Computers and Graphics, vol. 16, no. 1, p. 55-68, 1992.