Publications - By Topic

Publications - By Topic

Data Mining

Robert L Grossman and Yunhong Gu, Data Mining Using High Performance Clouds: Experimental Studies Using Sector and Sphere, Proceedings of The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2008. Draft

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

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

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

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

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

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

Leland Wilkinson, Anushka Anand and Robert L Grossman, High-dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distribution, IEEE Transactions on Visualization and Computer Graphics, Volume 12, Number 6, pages 1363-1372, 2006. Draft

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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.

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.

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.

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

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.

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.

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

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

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

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

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.

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

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

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