Publications

Articles in Refereed Journals

  1. R. Grossman, A note on the application of Morse theory to the study of the potential extrema of body surface potential maps, Volume 11, 1978, pages 201-202.

  2. M. Beals, C. Fefferman, R. Grossman, Strictly pseudoconvex domains in Cn, Bulletin American Mathematical Society, Volume, 8, 1983, pages 125-322.

  3. R. Grossman and R. Larson, Hopf algebraic structures of families of trees, Journal Algebra, Vol. 26, 1989, pages 184-210. Draft

  4. R. Grossman and R. Larson, Hopf-algebraic structure of combinatorial objects and differential operators, Israel Journal Mathematics, Volume 72, 1990, pages 109-117. Draft

  5. M. Grayson and R. Grossman, Models for free, nilpotent Lie algebras, Journal Algebra, Vol. 35, 1990, pages 177-191. Draft

  6. R. Grossman and R. Larson, Solving nonlinear equations from higher order derivations in linear stages, Advances in Mathematics, Vol. 82, 1990, pages 180-202. Draft

  7. R. Grossman, The evaluation of expressions involving higher order derivations, Journal of Mathematical Systems, Estimation, and Control, Volume 1, 1991, pages 91-106. Draft

  8. R. Grossman and R. G. Larson, The realization of input-output maps using bialgebras, Forum Mathematicum, Volume 4, 1992, pages 109-121. Draft

  9. M. W. Bern, D. P. Dobkin, D. Eppstein, and R. Grossman, Visibility with a moving point of view, Algorithmica, Volume 11, pages 360-378, 1994.

  10. R. Grossman and R. Larson, The symbolic computation of derivations using labeled trees, Journal of Symbolic Computation, Volume 13, pages 511-523, 1992. Draft

  11. P. Crouch and R. Grossman, Numerical integration of ordinary differential equations on manifolds, Journal of Nonlinear Science, Volume 3, pages 1-33, 1993. Draft

  12. R. Grossman and H. Vincent Poor, Wavelet transforms associated with finite cyclic groups, IEEE Transactions on Information Theory, Volume 39, 1993, pp. 1157-1166. Draft

  13. P. E. Crouch, R. Grossman, Y. Yan, On the numerical integration of the rolling ball equations using geometrically exact algorithms, Mechanics of Structures of Machines, 1994.

  14. R. L. Grossman and R. G. Larson, An algebraic approach to hybrid systems, Journal of Theoretical Computer Science, Volume 138, pp. 101-112, 1995. Draft

  15. R. L. Grossman, Data Mining Challenges for Digital Libraries, ACM Computing Surveys, Volume 28A (electronic), December, 1996. Draft

  16. R. L. Grossman, S. Bailey, A. Ramu and B. Malhi, P. Hallstrom, I. Pulleyn and X. Qin, The Management and Mining of Multiple Predictive Models Using the Predictive Model Markup Language (PMML), Information and Software Technology, Volume 41, 1999, pages 589-595. Draft

  17. Robert Grossman, and Marco Mazzucco, DataSpace - A Web Infrastructure for the Exploratory Analysis and Mining of Data, IEEE Computing in Science and Engineering, July/August, 2002, pages 44-51. Draft

  18. Robert Grossman, Mark Hornick, and Gregor Meyer, Data Mining Standards Initiatives, Communications of the ACM, Volume 45-8, 2002, pages 59-61. Draft

  19. H. Sivakumar, R. L. Grossman, M. Mazzucco, Y. Pan, Q. Zhang, Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks, Journal of Supercomputing, Volume 34, Number 3, pages 231-242, 2005. Draft

  20. Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Dave Lillethun, Jorge Levera, Joe Mambretti, Marco Mazzucco, and Jeremy Weinberger, Experimental Studies Using Photonic Data Services at IGrid 2002, Journal of Future Computer Systems, 2003, Volume 19, Number 6, pages 945-955. Draft

  21. Andrei L. Turinsky and Robert L. Grossman, Intermediate Strategies: A Framework for Balancing Cost and Accuracy in Distributed Data Mining, Knowledge and Information Systems, 2004, to appear.

  22. Asvin Ananthanarayan, Rajiv Balachandran, Yunhong Gu, Robert Grossman, Xinwei Hong, Jorge Levera, Marco Mazzucco, Data Webs for Earth Science Data, Parallel Computing, Volume 29, 2003, pages 1363-1379. Draft

  23. J. Mambretti, J. Weinberger, J. Chen, E. Bacon, F. Yeh, D. Lillethun, R. Grossman, Y. Gu, M. Mazzuco, The Photonic TeraStream: Enabling Next Generation Applications Through Intelligent Optical Networking at iGrid 2002, Journal of Future Computer Systems, Elsevier Press, Volume 19, Number 6, pages 897-908. Draft

  24. Chong Zhang, Jason Leigh, Thomas A. DeFanti, Marco Mazzucco and Robert Grossman, TeraScope: Distributed Visual Data Mining of Terascale Data Sets Over Photonic Networks, Journal of Future Computer Systems, 2003, Volume 19, Number 6, pages 935-943 Draft

  25. Ian Foster and Robert L. Grossman, Data Integration in a Bandwidth Rich World, Communications ACM, Volume 46, Issue 11, November, 2003, pages 50-57. Draft

  26. A. Chien, T. Faber, A. Falk, J. Bannister, R. Grossman, J. Leigh, Transport Protocols for High Performance: Whither TCP?, Communications ACM, Volume 46, Issue 11, November, 2003, pages 42-49. Draft

  27. Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu, An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds, Journal of Bioinformatics and Computational Biology, 2004, Volume 2, Number 1, 2004, pages 155-171. Draft

  28. Yunhong Gu and Robert L. Grossman, SABUL: A Transport Protocol for Grid Computing, Journal of Grid Computing, Volume 1, pages 377-386, 2004. Draft

  29. Bing Liu, Robert L. Grossman and Yanhong Zhai, Mining Web Pages for Data Records, IEEE Intelligent Systems, November/December, 2004, pages 49-55. Draft

  30. Robert L. Grossman, Yunhong Gu, Xinwei Hong, Antony Antony, Johan Blom, Freek Dijkstra, and Cees de Laat, Teraflows over Gigabit WANs with UDT, Journal of Future Computer Systems, Elsevier Press, Volume 21, Number 4, 2005, pages 501-513. Draft

  31. Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong and Parthasarathy Krishnaswamy, Experimental Studies of Data Transport and Data Access of Earth Science Data over Networks with High Bandwidth Delay Products, Computer Networks, Volume 46, 2004, pages 411-421. Draft

  32. Robert L. Grossman and Richard G. Larson, Differential Algebra Structures on Families of Trees, Advances in Applied Mathematics, Volume 35, pages 97-119, 2005. Draft

  33. L. Wilkinson, A. Anand and R. Grossman. High-dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distribution, IEEE Transactions on Visualization and Computer Graphics, 2006. Draft

  34. Robert L. Grossman, Yunhong Gu, David Handley, and Michal Sabala Joe Mambretti, Alex Szalay and Ani Thakar, Kazumi Kumazoe and Oie Yuji, Minsun Lee, Yoonjoo Kwon, and Woojin Seok, Data Mining Middleware for Wide Area High Performance Networks, Journal of Future Generation Computer Systems (FGCS), Volume 22, Number 8, pages 940-948, 2006. Draft

  35. Yunhong Gu and Robert L. Grossman, UDT: UDP-based Data Transfer for High-Speed Wide Area Networks, Computer Networks, Volume 51, Number 7, pages 1777-1799, 2007. Draft

  36. Robert L Grossman and Richard G. Larson, Hopf Algebras of Heap Ordered Trees and Permutations, Communications in Algebra, 2008, to appear. Also arxiv.org/abs/0706.1327. Draft

Articles in Refereed Proceedings

  1. R. Grossman, Quantum Controllability, Proceedings of the 23rd Conference on Decision and Control, IEEE, 1984 pages 1466-7.

  2. R. Grossman and C. Martin, The approximation and control of symmetric systems over the circle, Mathematical Theory of Network and Systems, Lecture Notes in Computer Science Voume 58, P. A. Fuhrmann, editor, Springer-Verlag, New York, 1984, pages 376-388.

  3. R. Grossman and C. Martin, The approximation and control of symmetric systems over compact groups, Proceedings of the Berkeley-Ames Conference on Nonlinear Problems in Control and Fluid Dynamics, L. R. Hunt and C. F. Martin, editors, Math Sci Press, Brookline, 1984, pages 145-170.

  4. R. Grossman and R. Larson, The symbolic computation of higher order derivations: symmetries of expressions and actions of group algebras, Differential Geometry: The Interface Between Pure and Applied Mathematics, Contemporary Mathematics, 68, M. Luksic, C. Martin and W. Shadwick, editors, American Mathematical Society, Providence, 1987, pages 121-131.

  5. R. Grossman, P. S. Krishnaprasad, and J. E. Marsden, The dynamics of two coupled rigid bodies, Dynamical Systems Approaches to Nonlinear Problems in Systems and Circuits, F. M. A. Salam and M. L. Levi, editors, SIAM, Philadelphia, 1988, pages 373-378.

  6. R. Grossman and R. Larson, Labeled trees and the algebra of differential operators, Graphs and Algorithms, Contemporary Mathematics, Volume 89, B. Richter, editor, American Mathematical Society, Providence, 1989, pages 81-87. Draft

  7. R. Fateman and R. Grossman, Computer algebra and operators, Symbolic Computation: Applications to Scientific Computing, R. Grossman, editor, SIAM, Philadelphia, 1989, pp. 1-14.

  8. M. Grayson and R. Grossman, Nilpotent Lie algebras and vector fields, Symbolic Computation: Applications to Scientific Computing, R. Grossman, editor, SIAM, Philadelphia, 1989, pages 77-96. Draft

  9. R. Grossman and R. G. Larson, Labeled trees and the efficient computation of derivations, Proceedings of 1989 International Symposium on Symbolic and Algebraic Computation, ACM, 1989, pages 74-80. Draft

  10. R. Grossman, Querying databases of trajectories of differential equations I: data structures for trajectories, Proceedings of the 23rd Hawaii International Conference on Systems Sciences, IEEE, 1990, pages 18-23. Draft

  11. M. W. Bern, D. P. Dobkin, D. Eppstein, and R. Grossman, Visibility with a moving point of view (extended abstract), Proceedings of the First Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 1990, pp. 107-117.

  12. R. Grossman, Querying databases of trajectories of differential equations II: index functions, Fourth NASA Workshop on Computational Control of Flexible Aerospace Systems, NASA Conference Proceedings, Number 10065, Part 1, L. W. Taylor, Jr., editor, NASA Langley Research Center, 1991, pp. 35-39. Draft

  13. R. Grossman, Using trees to compute approximate solutions of ordinary differential equations exactly, Differential Equations and Computer Algebra M. Singer, editor, Academic Press, New York, 1991, pp. 29-59. Draft

  14. P. Crouch, R. Grossman, and R. G. Larson, Computations involving differential operators and their actions on functions, Proceedings of 1991 International Symposium on Symbolic and Algebraic Computation, ACM, 1991, pp. 301-307. Draft

  15. A. Baden and R. Grossman, Database computing and high energy physics, Computing in High-Energy Physics 1991, edited by Y. Watase and F. Abe, Universal Academy Press, Inc., Tokyo, 1991, pp. 59-66.

  16. R. Grossman and R. G. Larson, The symbolic computation of vector field expressions, Algebraic Computing in Control 1991, edited by G. Jacob and F. Lamnabhi-Lagarrigue, Springer-Verlag, Berlin, 1991, pp. 1-10. Draft

  17. R. Grossman and D. Radford, A simple construction of bialgebra deformations, Contemporary Mathematics: Quantum Groups and Deformations, AMS, pp. 115-117, 1992. Draft

  18. P.E. Crouch and R. L. Grossman, The Explicit Computation of Integration Algorithms and First Integrals for Ordinary Differential Equations With Polynomial Coefficients Using Trees, Proceedings of the 1992 International Symposium on Symbolic and Algebraic Computation, ACM Press, pp. 89-94.

  19. R. L. Grossman and R. G. Larson, Viewing hybrid systems as products of control systems and automata, Proceedings of the 31st IEEE Conference on Decision and Control, IEEE Press, 1992, pages 2953-2955. Draft

  20. P.E. Crouch, R. Grossman, and Y. Yan, On the numeric integration of dynamic attitude equations, Proceedings of the 31st IEEE Conference on Decision and Control, IEEE Press, 1992, pages 1497-1501. Draft

  21. R. L. Grossman, D. Lifka, and X. Qin, A proof-of-concept implementation interfacing an object manager to a hierarchical storage system, Twelfth IEEE Symposium on Mass Storage Systems, IEEE Press, Los Alamites, 1993, pp. 209-214. Draft

  22. E. May, D. Lifka, E. Lusk, L. E. Price, C. T. Day, S. Loken, J. F. MacFarlane, A. Baden R. Grossman, X. Qin, L. Cormell, A. Gauthier, P. Leibold, J. Marstaller, U. Nixdorf, B. Scipioni Requirements for a System to Analyze High Energy Physics Events Using Database Computing Twelfth IEEE Symposium on Mass Storage Systems, IEEE Press, Los Alamites, 1993, pp. 31-36. Draft

  23. C. T. Day, S. Loken, J. F. MacFarlane, E. May, D. Lifka, E. Lusk, L. E. Price, A. Baden, R. Grossman, X. Qin, L. Cormell, P. Leibold, D. Liu, U. Nixdorf, B. Scipioni, T. Song, Database Computing in HEP -- Progress Report, Proceedings of the International Conference on Computing in High Energy Physics '92, C. Verkerk and W. Wojcik, editors, CERN-Service d'Information Scientifique, 1992, ISSN 0007-8328, pp. 557-560.

  24. R. L. Grossman and R. L. Larson, Some Remarks About Flows in Hybrid Systems, in R. L. Grossman, A. Nerode, A. P. Ravn, and H. Rischel, editors, Hybrid Systems, Lecture Notes in Computer Science, Volume 736, Springer-Verlag, New York, 1993, pp. 357-365.

  25. R. L. Grossman, D. Valsamis and X. Qin, Persistent stores and hybrid systems, Proceedings of the 32st IEEE Conference on Decision and Control, IEEE Press, 1993, pp. 2298-2302.

  26. R. L. Grossman, Working With Object Stores of Events Using PTool, 1993 Cern Summer School in Computing, C. E. Vandoni and C. Verkerk, editors, CERN-Service d'Information Scientifique 94-06, pages 66-97, 1994.

  27. R. L. Grossman and X. Qin, Ptool: a scalable persistent object manager, Proceedings of SIGMOD 94, ACM, 1994, page 510. Draft

  28. R. L. Grossman, A. Sundaram, H. Ramamoorthy, M. Wu, S. Hogan, J. Shuler and O. Wolfson, Viewing the U.S. Government Budget as a Digital Library, Proceedings of Digital Libraries 1994: Conference on the Theory and Practice of Digital Libraries, ACM, 1994.

  29. R. L. Grossman, W. Sluis, and W. Shadwick, On Nonlinear Normal Forms, Proceedings of the 33st IEEE Conference on Decision and Control, EEE Press, 1994.

  30. D. R. Quarrie, C. T. Day, S. Loken, J. F. Macfarlane, D. Lifka, E. Lusk, D. Malon, E. May, L. E. Price, L. Cormell, A. Gauthier, P. Liebold, J. Hilgart, D. Liu, J. Marstaller, U. Nixdorf, T. Song, R. Grossman, X. Qin, D. Valsamis, M. Wu, W. Xu, A. Baden, The PASS Project: A Progress Report, Proceedings of the Conference on Computing in High Energy Physics 1994, edited by S. C. Loken, pages 229-232, 1995.

  31. D. R. Quarrie, C. T. Day, S. Loken, J. F. Macfarlane, D. Lifka, E. Lusk, D. Malon, E. May, L. E. Price, L. Cormell, A. Gauthier, P. Liebold, J. Hilgart, D. Liu, J. Marstaller, U. Nixdorf, T. Song, R. Grossman, X. Qin, D. Valsamis, M. Wu, W. Xu, A. Baden, The PASS Project Architectural Model, Proceedings of the Conference on Computing in High Energy Physics 1994, edited by S. C. Loken, pages 233-235, 1995.

  32. E. N. May, D. Lifka, D. Malon, L. E. Price L. Cormell, A. Gauthier, J. Marsteller, S. Mestad, U. Nixdorf R. Grossman, X. Qin, D. Valsamis, M. Wu, W. Xu A Demonstration of a Multi-level Object Store and its Application to the Analysis of High Energy Physics Data, Proceedings of the Conference on Computing in High Energy Physics 1994, edited by S. C. Loken, pages 236-238, 1995.

  33. D. Malon, D. Lifka, E. May R. Grossman, X. Qin, W. Xu Parallel Query Processing for Event Store Data, Proceedings of the Conference on Computing in High Energy Physics 1994, edited by S. C. Loken, pp. 239-240, 1995. Draft

  34. R. L. Grossman, N. Araujo, X. Qin, and W. Xu, Managing physical folios of objects between nodes, Persistent Object Systems (Proceedings of the Sixth International Workshop on Persistent Object Systems), M. P. Atkinson, V. Benzaken and D. Maier, editors, Springer-Verlag and British Computer Society, 1995, pages 217-231.

  35. R. L. Grossman, X. Qin, D. Valsamis, W. Xu, C. T. Day, S. Loken, J. F. MacFarlane, D. Quarrie, E. May, D. Lifka, D. Malon, L. Price, Analyzing High Energy Physics Data Using Databases: A Case Study, Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management, IEEE Press, 1994, pages 283-286. Draft

  36. R. L. Grossman, A. Nerode, and W. Kohn, Nonlinear Systems, Automata, and Agents: Managing their Symbolic Data Using Light Weight Persistent Object Managers, International Symposium on Fifth Generation Computer Systems, 1994: Workshop on Heterogeneous Cooperative Knowledge-Bases, Kazumasa Yokota, editor, ICOT, pages 65-74.

  37. J. Leigh, C. A. Vasilakis, T. A. DeFanti, R. Grossman, C. Assad, B. Rasnow, A. Protopappas, E. DeSchutter, J. M. Bower, Virtual Reality in Computational Neuroscience, Virtual Reality Applications, edited by R. Earnshaw, J. A. Vince and H. Jones, Academic Press, London, 1995, pages 293-306.

  38. R. L. Grossman D. Hanley, and X. Qin Caching and migration for physical collections of objects: Interfacing persistent object stores and hierarchical storage systems, in Proceedings of the 14th IEEE Computer Society Mass Storage Systems Symposium, S. Coleman, editor, IEEE, 1995, pages 127-135. Draft

  39. R. L. Grossman, D. Hanley, and X. Qin, PTool: A Light Weight Persistent Object Manager, Proceedings of SIGMOD 95, ACM, 1995, p. 488. Draft

  40. R. L. Grossman and M. Sweedler Hybrid Systems and Quantum Automata: Preliminary Announcement, Hybrid Systems II, P. Antsaklis, W. Kohn, A. Nerode, S. Sastry, editors, Springer Lecture Notes in Computer Science, Volume 999, pages 191-201, 1995. Draft

  41. M. J. Doffou and R. L. Grossman, The Symbolic Computation of Differential Invariants of Polynomial Vector Field Systems Using Trees, Proceedings of the 1995 International Symposium on Symbolic and Algebraic Computation, A. H. M. Levelt, editor, ACM, 1995, pages 26-31. Draft

  42. N. Araujo, R. Grossman, D. Hanley, W. Xu, S. Ahn, K. Denisenko, M. Fischler, M. Galli D. Malon and E. May, Some Remarks on Parallel Data Mining Using a Persistent Object Manager, Proceedings of the Conference on Computing in High Energy Physics 1995. Draft

  43. S. Bailey, R. Grossman, and D. Hanley, D. Benton and B. Hollebeek, Scalable Digital Libraries of Event Data and the NSCP Meta-Cluster, Proceedings of the Conference on Computing in High Energy Physics 1995. Draft

  44. R. L. Grossman and H. V. Poor, Optimization Driven Data Mining and Credit Scoring, in Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr), IEEE, Piscataway, 1996, pages 104-110. Draft

  45. S. Bailey, R. L. Grossman, L. Gu, and D. Hanley, A Data Intensive Approach to Path Planning and Mode Management for Hybrid Systems, in R. Alur, T. A. Henzigner, and E. Sontag, Hybrid Systems III, Proceedings of the DIMACS Workshop on Verification and Control of Hybrid Systems, Springer-Verlag, LNCS 1066, 1996.

  46. R. L. Grossman, H. Bodek, D. Northcutt, and H. V. Poor, Data Mining and Tree-based Optimization, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, E. Simoudis, J. Han and U. Fayyad, editors, AAAI Press, Menlo Park, California, 1996, pp 323-326. Draft

  47. R. L. Grossman, The Terabyte Challenge: An Open, Distributed Testbed for Managing and Mining Massive Data Sets, Proceedings of the 1996 Conference on Supercomputing, IEEE, 1996. Draft

  48. R. L. Grossman, S. Bailey and D. Hanley, Data Mining Using Light Weight Object Management in Clustered Computing Environments, Proceedings of the Seventh International Workshop on Persistent Object Stores, Morgan-Kauffmann, San Mateo, 1997, pages 237-249. Draft

  49. S. Bailey, A. Goldstein, R. L. Grossman, and D. Hanley, Accessing Warehoused Collections of Objects Through Java, Proceedings of the First International Workshop on Persistence and Java, Sun Microsystems, 1996. Draft

  50. S. Bailey and R. L. Grossman, JTool: Accessing Warehoused Collections of Objects with Java, Proceedings of the Second Workshop on Persistence and Java, Sun Microsystems, 1998. Draft

  51. R. L. Grossman and S. Bailey, An Overview of Dynamic Classification: Mining Collections of Trajectories (invited paper), 1998 Proceedings of the Section on Physical and Engineering Sciences, American Statistical Association, Alexandria, Virgina, pages 24-28. Draft

  52. R. L. Grossman, S. Bailey, A. Ramu, B. Malhi and A. Turinsky, The Preliminary Design of Papyrus: A System for High Performance, Distributed Data Mining over Clusters, in Advances in Distributed and Parallel Knowledge Discovery, H. Kargupta and P. Chan, editors, AAAI Press/The MIT Press, Menlo Park, California, 2000, pages 259-275. Draft

  53. R. L. Grossman, S. Bailey, A. Ramu, B. Malhi and H. Sivakumar, A. Turinsky, Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters, Proceedings of Supercomputing 1999, IEEE. Draft

  54. R. L. Grossman, The Role of QoS in Wide Area Data Mining, Proceedings of the First Internet 2 Joint Applications Engineering QoS Workshop: Enabling Advanced Applications Through QoS, UCAID, 1999, pages 19-21. Draft

  55. J. Leigh, A. Johnson, T. DeFanti, S. Bailey, R. L. Grossman, A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments, 8th IEEE International Symposium on High Performance and Distributed Computing, Redundo Beach, California, Aug 3-6, 1999. Draft

  56. J. Leigh, A. Johnson, T. DeFanti, S. Bailey, R. L. Grossman, A Tele-Immersive Environment for Collaborative Exploratory Analysis of Massive Data Sets, ASCI 99, pages 3-9, Heijen, the Netherlands, 1999. Draft

  57. S. Bailey, E. Creel, R. Grossman, S. Gutti, and H. Sivakumar, A High Performance Implementation of the Data Space Transfer Protocol (DSTP), Large-Scale Parallel Data Mining, M. J. Zaki and C.-T. Ho, editors, Springer-Verlag, Berlin, 2000, pages 55-64. Draft

  58. R. L. Grossman and Yike Guo, Parallel Methods for Scaling Data Mining Algorithms to Large Data Sets, Hanndbook on Data Mining and Knowledge Discovery, Jan M Zytkow, editor, Oxford University Press, 2002, pages 433 - 442. Draft

  59. H. Sivakumar, R. Grossman, B. Schiefer, X. Xue, and S. Syed, Performance of DB2 UDB EEE on NT with Virtual Interface Architecture, Lecture Notes in Computer Science: Advances in Database Technology EDBT 2000, 7th International Conference on Extending Database Technology Konstanz, Germany March 2000.

  60. H. Sivakumar, S. Bailey, R. L. Grossman, PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks, Proceedings of the 2000 ACM/IEEE Conference on Supercomputing (CDROM), IEEE Computer Society, Washington, DC, USA, 2000, page 38. Draft

  61. N. Sawant, C. Scharver, J. Leigh, A Johnson, G. Reinhart, E. Creel, S. Batchu, S. Bailey, R. L. Grossman, The Tele-Immersive Data Explorer: A Distributed Architecture for Collaborative Interactive Visualization of Large Data-sets, 4th International Immersive Projection Technology Workshop, Ames, Iowa, June 19-20, 2000. Draft

  62. R. L. Grossman and R. Hollebeek, The National Scalable Cluster Project: Three Lessons about High Performance Data Mining and Data Intensive Computing, in Handbook of Massive Data Sets, J. Abello, P. M. Pardalos, and M. G. C. Resende, editors, Kluwer Academic Publishers, 2002. Draft

  63. A DataSpace Infrastructure for Astronomical Data, Robert Grossman, Emory Creel, Marco Mazzucco, Roy Williams in R. L. Grossman, C. Kamath, W. Philip Kegelmeye, V. Kumar, and R. Namburu, Data Mining for Scientific and Engineering Applications, Kluwer Academic Publishers, 2001, pages 115-123. Draft

  64. Robert Grossman, Mark Hornick, and Gregor Meyer, Emerging Standards and Interfaces in Data Mining, Handbook of Data Mining, Nong Ye, editor, Lawrence Erlbaum Associates, Publishers, Mahwah, New Jersey, 2003, pages 453-459. Draft

  65. M. Cornelson, E. Greengrass, R. L. Grossman, R. Karidi, and D. Shnidman, Combining Information Retrieval Algorithms Using Machine Learning, Survey of Text Mining: Clustering, Classification, and Retrieval Michael W. Berry, editor, Springer-Verlag, 2003, pages 159-169. Draft

  66. Marco Mazzucco, Asvin Ananthanarayan, Robert L. Grossman, Jorge Levera, and Gokulnath Bhagavantha Rao, Merging Multiple Data Streams on Common Keys over High Performance Networks, Proceedings of the IEEE/ACM SC2002 Conference, 2002, IEEE Computer Society, page 67. Draft

  67. R. L. Grossman and R. G. Larson, An Algebraic Approach to Data Mining: Some Examples, Proceedings of the 2002 IEEE International Conference on Data Mining, IEEE Computer Society, Los Alamitos, California, 2002, pages 613-616. Draft

  68. Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Dave Lillethun, Jorge Levera, Joe Mambretti, Marco Mazzucco, and Jeremy Weinberger, Photonic Data Services: Integrating Path, Network and Data Services to Support Next Generation Data Mining Applications, Data Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha, editors, AAAI Press, 2004. Draft

  69. Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Dave Lillethun, Jorge Levera, Joe Mambretti, Marco Mazzucco, and Jeremy Weinberger, Global Access to Large Distributed Data Sets using Photonic Data Services, Proceedings of the 20th IEEE/11th NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2003), IEEE Computer Society, Los Alamitos, California, pages 62-66. Draft

  70. Thomas A. DeFanti, Jason Leigh, Maxine D. Brown, Daniel J. Sandin, Oliver Yu, Chong Zhang, Rajvikram Singh, Eric He, Javid Alimohideen, Naveen K. Krishnaprasad, Robert Grossman, Marco Mazzucco, Larry Smarr, Mark Ellisman, Phil Papadopoulos, Andrew Chien, John Orcutt, Teleimmersion and Visualization with the OptIPuter, Proceedings of the 12th International Conference on Artificial Reality and Telexistence (ICAT 2002), Ohmsha/IOS Press. Draft

  71. R. Grossman, X. Qin, W. Xu, H. Hulen, and T. Tyler, An Architecture for a Scalable, High-Performance Digital Library, 14th IEEE Symposium on Mass Storage Systems, IEEE Press, pages 89-98, 1995. Draft

  72. Robert L. Grossman and Dave Northcutt, A Note on Interfacing Object Warehouses and Mass Storage Systems for Data Mining Applications, Proceedings of the Goddard Conference on Mass Storage Systems, 1996.

  73. Shitij Mutreja, Stuart Bailey, Robert Grossman, and Dave Hanley, Lightweight Video Service for Multi-Media Digital Libraries, Proceedings of CASCON '95, 1995. Draft

  74. Robert Grossman, Donald Hamelberg, Pavan Kasturi, and Bing Liu, Experimental Studies of the Universal Chemical Key (UCK) Algorithm on the NCI Database of Chemical Compounds, Proceedings of the 2003 IEEE Computer Society Bioinformatics Conference (CSB 2003), IEEE Computer Society, Los Alamitos, California, pages 244-250. Draft

  75. Bing Liu, Robert L. Grossman and Yanhong Zhai, Mining Data Records in Web Pages, Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 03), pages 601-606. Draft

  76. Robert L. Grossman, Alert Management Systems: A Quick Introduction, in Managing Cyber Threats: Issues, Approaches and Challenges, edited by Vipin Kumar, Jaideep Srivastava and Aleksandar Lazarevic, Springer Science+Business Media, Inc., New York, 2005, pages 281-291, ISBN 0-387-24226-0. Draft

  77. R.L. Grossman, Y. Gu, D. Hanley, X. Hong, and G. Rao, Open DMIX - Data Integration and Exploration Services for Data Grids, Data Web and Knowledge Grid Applications, Proceedings of the First International Workshop on Knowledge Grid and Grid Intelligence (KGGI 2003), W. K. Cheung and Y. Ye, editors, pages 16-28. Draft

  78. S. Bailey, R. L. Grossman and D. Hanley, Clusters, meta-clusters, and digital libraries: digital libraries for scientific, engineering and medical applications, ACM SIGWEB Newsletter, Volume 4, Number 2, ACM Press, New York, NY, 1995, pages 8-10.

  79. Chetan Gupta and Robert L. Grossman, GenIc: A Single Pass Generalized Incremental Algorithm for Clustering, 2004 SIAM International Conference on Data Mining (SDM 04), to appear. Draft

  80. Robert L. Grossman and Richard G. Larson, Bialgebras and Realizations, in Hopf Algebras, Jeffrey Bergen, Stefan Catoiu, and William Chin, editors, Marcel Dekker, Inc., New York, 2004, pages 157-166. Draft

  81. Robert L. Grossman, Yunhong Gu, Chetan Gupta, David Hanley, Xinwei Hong, and Parthasarathy Krishnaswamy, Open DMIX: High Performance Web Services for Distributed Data Mining, 7th International Workshop on High Performance and Distributed Mining, in association with the Fourth International SIAM Conference on Data Mining, 2004. Draft

  82. Jorge Levera, Benjamin Barin, and Robert Grossman, Experimental Studies Using Median Polish Procedures to Reduce Alarm Rates in Data Cubes of Intrusion Data, Intelligence and Security Informatics for National and Homeland Security, Hsinchun Chen, Reagan Moore, Daniel Zeng, John Jeavitt, editors, LNCS 3073, Springer Verlag, New York, 2004, pages 482-491. Draft

  83. Robert L. Grossman, Dave Hanley, Xinwei Hong and Parthasarathy Krishnaswamy, Using DataSpace to Support Long-Term Stewardship of Remote and Distributed Data, NASA/IEEE MSST 2004, 12th NASA Goddard/21st IEEE Conference on Mass Storage Systems and Technologies, 2004, pages 239-244. Draft

  84. Yunhong Gu, Xinwei Hong, and Robert Grossman, Experiences in Design and Implementation of a High Performance Transport Protocol, ACM/IEEE International Conference for High Performance Computing and Communications (SC '04), page 22. Draft

  85. Andrei L. Turinsky and Robert L. Grossman, A Greedy Algorithm for Selecting Models in Ensembles, Proceedings 4th IEEE International Conference Data Mining (ICDM 2004), Brighton, UK, pages 547-550, IEEE Computer Society Press, 2004. Draft

  86. Yunhong Gu, Xinwei Hong and Robert Grossman, An Analysis of AIMD Algorithms with Decreasing Increases, Proceedings of GridNets 2004, IEEE Press, 2004. Draft

  87. Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L Grossman, Visual Browsing of Remote and Distributed Data, IEEE Symposium on Information Visualization (INFOVIS'04), 2004, page 12. Draft

  88. Yunhong Gu and Robert L. Grossman, Optimizing UDP-Based Protocol Implementations, Proceedings of the Third International Workshop on Protocols for Fast Long-Distance Networks PFLDnet 2005, 2005. Draft

  89. Greeshma Neglur and Robert L. Grossman, Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples, 2nd International Workshop on Data Integration in the Life Sciences (DILS 2005), La Jolla, July 20-22, 2005. Draft

  90. Joseph Bugajski, Robert L. Grossman, Eric Sumner and Tao Zhang, An Event Based Framework for Improving Information Quality That Integrates Baseline Models, Causal Models and Formal Reference Models, Second International ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS 2005), June 17th, Baltimore, Maryland, co-located with ACM SIGMOD/PODS 2005. Draft

  91. Robert L. Grossman, Michal Sabala, Javid Alimohideen, Anushka Aanand, John Chaves, John Dillenburg, Steve Eick, Jason Leigh, Peter Nelson, Mike Papka, Doug Rorem, Rick Stevens, Steve Vejcik, Leland Wilkinson, and Pei Zhang, Real Time Change Detection and Alerts from Highway Traffic Data, ACM/IEEE International Conference for High Performance Computing and Communications (SC '05). Draft

  92. Yunhong Gu and Robert Grossman, Supporting Configurable Congestion Control in Data Transport Services, ACM/IEEE International Conference for High Performance Computing and Communications (SC '05). Draft

  93. Joseph Bugajski, Robert Grossman, Eric Sumner, Tao Zhang, A Methodology for Establishing Information Quality Baselines for Complex, Distributed Systems, 10th International Conference on Information Quality (ICIQ), 2005. Draft

  94. L. Wilkinson, A. Anand and R. Grossman, Graph-theoretic scagnostics, Proceedings of the IEEE Information Visualization 2005 (INFOVIS'05), pages 157-164. Draft

  95. Rajmonda Sulo, Stephen Eick, Robert Grossman, DaVis: A tool for Visualizing Data Quality, Proceedings of the IEEE Information Visualization 2005 (INFOVIS'05). Draft

  96. Yong Mao, Yunhong Gu, Jia Chen and Robert L. Grossman, SDCS: Simplified Data Communications in Parallel/Distributed Applications, IEEE International Symposium on Cluster Computing and the Grid (CCGrid06), pages 292-295, 2006. Draft

  97. Greeshma Neglur, Robert L. Grossman, Natalia Maltsev, and Clement Yu, Using Term Lists and Inverted Files to Improve Search Speed for Metabolic Pathway Databases, 3rd International Workshop on Data Integration in the Life Sciences 2006 (DILS'06), Lecture Notes in Bioinformatics, Volume 4075, Springer-Verlag, Berlin, 2006, pages 168-184. Draft

  98. Yunhong Gu, Robert L. Grossman, Alex Szalay and Ani Thakar, Distributing the Sloan Digital Sky Survey Using UDT and Sector, Proceedings of e-Science 2006. Draft

  99. Joseph Bugajski, Robert L. Grossman, Eric Sumner and Steve Vejcik, Monitoring Data Quality for Very High Volume Transaction Systems, Proceedings of the 11th International Conference on Information Quality, 2006. Draft

  100. Rajmonda Sulo, Anushka Anand, Leland Wilkinson, Robert Grossman, Stephen Eick, Topographically-Based Real-time Traffic Anomaly Detection in a Metropolitan Highway System, Proceedings of the IEEE Information Visualization 2006 (INFOVIS'06). Draft

  101. Joseph M. Bugajski, Robert L. Grossman, and Steve Vejcik, A Service Oriented Architecture Supporting Data Interoperability for Payments Card Processing Systems, Proceedings of the International Conference on Service-Oriented Computing (ICSOC) 2006, Springer Lecture Notes in Computer Science, Volume 4296, 2006, pages 591-600. Draft

  102. Yong Mao, Yunhong Gu, Jia Chen, and Robert L. Grossman, FastPara: A High-Level Declarative Data-Parallel Programming Framework on Clusters, Parallel and Distributed Computing and Systems, 2006. Draft

  103. Joseph Bugajski, Chris Curry, Robert L. Grossman, David Locke, Steve Vejcik, Detecting Changes in Large Data Sets of Payment Card Data: A Case Study, Proceedings of The Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2007. Draft

  104. G. Caire, Robert L. Grossman and H. Vincent Poor, Wavelet transforms associated with finite cyclic groups, The Twenty-Sixth Asilomar Conference on Signals, Systems and Computers, Volume 1, pages 113 - 119, 1992. Draft

  105. Fang Fang, Robert L. Grossman and Ziangjun Liu, An Algorithm for Assigning Unique Keys To Metabolic Pathways, Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine. Draft

  106. Yunhong Gu, Robert L. Grossman and Joe Mambretti, A Peer-to-Peer Infrastructure for Distributing Large Scientific Data Sets over Wide Area High-Performance Networks: Experimental Studies Using Wide Area Layer 2 Services, Proceedings of the First International Conference on Networks for Grid Applications (GridNets 2007), ICST, ISBN: 978-963-9799-02-8, 2007. Draft

  107. Joseph Bugajski and Robert L. Grossman, An Alert Management Approach to Data Quality: Lessons Learned from the Visa Data Authority Program, Proceedings of the 12th International Conference on Information Quality, (ICIQ 2007). Draft

  108. Joseph Bugajski, Chris Curry, Robert L. Grossman, David Locke and Steve Vejcik, Data Quality Models for High Volume Transaction Streams: A Case Study, Proceedings of the Second Workshop on Data Mining Case Studies and Success Stories, ACM 2007. Draft

  109. Robert L. Grossman, A Review of Some Analytic Architectures for High Volume Transaction Systems, The 5th International Workshop on Data Mining Standards, Services and Platforms (DM-SSP '07), ACM, 2007, pages 23-28. Draft

  110. Chetan Gupta and Robert L. Grossman, Outlier Detection with Streaming Dyadic Decomposition, Proceedings of the 7th Industrial Conference on Data Mining, LNCS Volume 4597, Springer-Verlag, 2007, pages 77-91. Draft

  111. David Ferrucci, Robert L. Grossman, Anthony Levas, PMML and UIMA Based Frameworks For Deploying Analytic Applications nd Services, Proceedings of the 4th International Workshop on Data Mining Standards, Services and Platforms (DM-SSP 06), ACM, New York, 2006, pages 14-26. Draft

Books

  1. M. Beals, C. Fefferman, R. Grossman, Strictly Pseudoconvex Domains in Cn, Moscow, 1987, 286 pages, in Russian. Translation of Article 2.

  2. R. Grossman, editor, Symbolic Computation: Applications to Scientific Computing, SIAM, Philadelphia, 1989, 185 pages.

  3. R. L. Grossman, A. Nerode, A. P. Ravn, and H. Rischel, editors, Hybrid Systems, Lecture Notes in Computer Science, Volume 736, Springer-Verlag, New York, 1993.

  4. Yike Guo and Robert Grossman, editors, High Performance Data Mining: Scaling Algorithms, Applications and Systems, Kluwer Academic Publishers, 1999.

  5. R. L. Grossman, J. Han and V. Kumar, editors, Proceedings of the SIAM First International Conference on Data Mining (SDM-01), SIAM, 2001, ISBN 0-89871-495-8.

  6. Robert L. Grossman, Chandrika Kamath, Philip Kegelmeyer, Vipin Kumar, and Raju R. Namburu, Data Mining for Scientific and Engineering Applications, Kluwer Academic Publishing, 2001. ISBN 1-4020-0033-2.

  7. Robert Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, and Rajeev Motwani, editors, Proceedings of the Second SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2002.

  8. Robert L. Grossman, Roberto Bayardo, Kristin Bennet, and Jaideep Vaidya, editors, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005), ACM Press, New York, 2005, ISBN 1-59593-135-X.

Other Publications

  1. Robert Grossman, Simon Kasif, Reagan Moore, David Rocke, and Jeff Ullman, Data Mining Research: Opportunities and Challenges. A Report of three NSF Workshops on Mining Large, Massive, and Distributed Data, http://www.ncdm.uic.edu/m3d2.htm, 1998. Draft

  2. Haim Bodek, Robert Lee Grossman and Ivan Pulleyn, Detecting Network Intrusions through the Data Mining of Network Packet Data Using the ACT Algorithm, 1997. Draft

  3. Robert L. Grossman, Symbolic Computation and Flows of Differential Equations, Second Workshop on Computer Algebra, July 21, 1993, Rio de Janeiro.

  4. Andrew Baden and Robert L. Grossman, A Model for Computing at the SCC, SSC Technical Report, June 6, 1990. Draft

  5. KDD-2003 Workshop on Data Mining Standards, Services, and Platforms (DM-SSP 03), ACM SIGKDD Explorations, Volume 5, Issue 2, page 197, 2003. Draft

  6. Robert L. Grossman and David Radford, Bialgebra Deformations of Certain Universal Enveloping Algebras, Laboratory for Advanced Computing Technical Report, University of Illinois at Chicago, 1991. Draft

  7. This technical report is now archaic.

  8. R. L. Grossman, S. Mehta and X. Qin, Path planning by querying persistent stores of trajectory segments, Laboratory for Advanced Computing Technical Report Number LAC 93-R3, September, 1992. Draft

  9. Jason Leigh, Eric He, and Robert Grossman, Grid Networks and UDT Services, Protocols, and Technologies, in Franco Travostino, Joe Mambretti, and Gigi Karmous-Edwards, editors, Grid Networks: Enabling Grids with Advance Communication Technology, Wiley, 2006, pages 171-184.

  10. Robert L. Grossman, Yunhong Gu, Michal Sabala, and Joel J. Mambretti, Real Time, Distributed Detection of Anomalies and Emergent Behavior Using the Angle Algorithm, University of Illinois at Chicago, Laboratory for Advanced Computing, Technical Report, 2006. Draft

  11. Robert L. Grossman, Fifth International Workshop on Data Mining Standards, Services, and Platforms, Preface, Proceedings of The Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2007. Draft

  12. Bennett Bertenthal, Robert Grossman, David Hanley, Mark Hereld, Sarah Kenny, Gina Levow, Michael E. Papka, Steve Porges, Kavithaa Rajavenkateshwaran, Rick Stevens, Thomas Uram, and Wenjun Wu, Social Informatics Data Grid, Third International Conference on e-Social Science October 7-9, 2007, Ann Arbor, Michigan. Draft

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