"Simple estimators for relational Bayesian classifiers." Proceedings of The Third IEEE International Conference on Data Mining. (Also appeared as University of Massachusetts Amherst, Technical Report 03-04). 2003. (with J. Neville and B. Gallagher).
[abstract | text]

"Collective classification with relational dependency networks." Proceedings of the 2nd Multi-Relational Data Mining Workshop, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2003. (with J. Neville).
[abstract | text]

"Information awareness: A prospective technical assessment." Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2003. (with M. Rattigan, and H. Blau).
[abstract | text]

"Exploiting relational structure to understand publication patterns in high-energy physics." SIGKDD Explorations 5(2):165-173. (Winning entry: KDD Cup 2003 Open Task, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2003). (with A. McGovern, L. Friedland, M. Hay, B. Gallagher, A. Fast, and J. Neville).
[abstract | text]

"Learning relational probability trees." Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2003. (with J. Neville, L. Friedland and M. Hay).
[abstract | text]

"Identifying predictive structures in relational data using multiple instance learning." Proceedings of the 20th International Conference on Machine Learning. 2003. (with A. McGovern).
[abstract | text]

"Avoiding bias when aggregating relational data with degree disparity." Proceedings of the 20th International Conference on Machine Learning. 2003. (with J. Neville and M. Hay).
[abstract | text]

"Clustering relational data using attribute and link information." Proceedings of the Text Mining and Link Analysis Workshop, Eighteenth International Joint Conference on Artificial Intelligence. 2003. (with J. Neville and M. Adler).
[abstract | text]

"Statistical relational learning: Four claims and a survey." Proceedings of the Workshop on Learning Statistical Models from Relational Data, Eighteenth International Joint Conference on Artificial Intelligence. 2003. (with J. Neville and M. Rattigan).
[abstract | text]

"A note on the unification of information extraction and data mining using conditional-probability relational models." Proceedings of the IJCAI 2003 Workshop on Learning Statistical Models from Relational Data. 74-86. (with A. McCallum)

"Randomization tests for relational learning." University of Massachusetts Amherst, Technical Report 03-05. 2003. (with J. Neville and M. Rattigan).
[abstract | text]

"Data mining in networks." Invited talk to the Roundtable on Social and Behavior Sciences and Terrorism. National Research Council, Division of Behavioral and Social Sciences and Education, Committee on Law and Justice. Washington, DC. December 11.
[abstract | slides]

"Data mining in social networks." Invited presentation to the National Academy of Sciences Workshop on Dynamic Social Network Modeling and Analysis. Washington, DC. November 7-9. (with Jen Neville)
[abstract | text]

"Feature selection biases in relational learning." Invited talk to the Machine Intelligence 19 Workshop. Withersdane Conference Centre, Imperial College at Wye. September 18-20. (with J. Neville).
[abstract]

"A visual language for querying and updating graphs." University of Massachusetts Amherst Computer Science Technical Report 2002-037. 2002. (with H. Blau and N. Immerman).
[abstract | text]

"Schemas and models." Proceedings of the Multi-Relational Data Mining Workshop, 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2002. (with J. Neville).
[abstract | text]

"Linkage and autocorrelation cause feature selection bias in relational learning." Proceedings of the 19th International Conference on Machine Learning. 2002. (with J. Neville).
[abstract | text]

"Supporting relational knowledge discovery: Lessons in architecture and algorithm design." Proceedings of the Data Mining Lessons Learned Workshop, 19th International Conference on Machine Learning. 2002. (with J. Neville).
[abstract | text]

"Autocorrelation and linkage cause bias in evaluation of relational learners." Proceedings of the 12th International Conference on Inductive Logic Programming. 2002. (with J. Neville).
[abstract | text]

"Knowledge Evaluation: Statistical Evaluations." Handbook of Data Mining and Knowledge Discovery. Kloesgen, W. and J. Zytkow (Eds.), 475-489, 2002. Oxford: Oxford University Press.
[abstract | text]

"Social pathologies of adaptive agents." In Safe Learning Agents: Papers from the 2002 AAAI Spring Symposium. M. Barley and H. Guesgen (Editors). Technical report SS-02-07. Menlo Park, CA: AAAI Press. pp. 13-19. 2002. (with V. Lesser).
[abstract | text]

"Knowledge discovery in networks." Invited talk to the Heinz School of Public Affairs, Carnegie Mellon University. April 22, 2002.

"Knowledge Discovery in Relational Data." Invited talk to the Department of Mathematics and Statistics, University of Massachusetts Amherst. March 11, 2002.

"Data Mining in Networks." Invited talk to the Department of Information Systems, Stern School of Business, New York University. February 22, 2002.

"Data Mining in Networks." Presentation at the International Sunbelt Social Network Conference XXII. February 13, 2002. (with J. Neville).

"High-Accuracy Pattern Learning for Intelligence Analysis." Invited talk at Knowledge Discovery and Dissemination, an interagency meeting of the National Science Foundation and the Intelligence Technology Innovation Center. January 11, 2002.

"A Visual Query Language for Relational Knowledge Discovery." Technical Report UM-CS-2001-028. Computer Science Department, University of Massachusetts, Amherst. (with H. Blau and N. Immerman).
[abstract | text]

"Progressive Sampling." In Instance Selection and Construction, A Data Mining Perspective, (H. Liu and H. Motoda, eds.). Dordrecht, The Netherlands: Kluwer Academic Publishers, 2001. (with F. Provost and T. Oates).

"Transformative Learning from Relational Data." Invited talk at Knowledge Discovery and Dissemination, an interagency meeting of the National Science Foundation and the Intelligence Technology Innovation Center. December 5, 2001.

"Relational Knowledge Discovery." Invited talk at AlphaTech, Inc., Burlington, MA. November 28, 2001.

"When and how to Subsample." Presentation as a participant on a Panel on Sampling at The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001). Other participants: S. Chaudhuri, Microsoft; R. Kohavi, Blue Martini, Inc.; F. Provost, New York University.

"Learning statistical models from relational data". Presented to the Dagstuhl Seminar on Link Analysis and Visualization. Schloss Dagstuhl, Wadern, Germany. July 3, 2001.

"Correlation and sampling in relational data mining." Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics. (with J. Neville).

"Gathering intelligence on multi-agent systems." Invited talk at Air Force Research Laboratories, Rome, NY. March 20, 2001.

"Multiple Comparisons in Induction Algorithms." Machine Learning. 38(3): 309-338. (with P. Cohen).
[abstract | text]

"Language models for financial news recommendation." Proceedings of the Ninth International Conference on Information and Knowledge Management (CIKM). New York: ACM Press, 2000. pp. 389-396. (with V. Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, and J. Allan).
[abstract | text]

"Iterative classification in relational data." Invited talk at Whizbang Laboratories, Pittsburgh, PA. Sept. 28, 2000.

"Knowledge discovery from graphs." Invited talk at Graph Drawing 2000. Colonial Williamsburg, VA. Sept. 22, 2000.

"The Proximity System for Relational Knowledge Discovery." Presentation and demonstration to Frank Fernandez (Director, Defense Advanced Research Projects Agency) and Jane Alexander (Assistant Director, DARPA). April 21, 2000. (with M. Cornell).

"The Proximity System for Relational Knowledge Discovery." Presentation and demonstration to John Poindexter and William Mularie (Director, Information Systems Office, DARPA). April 20, 2000. (with M. Cornell).

"Information Mining of concurrent News and Time Series." CIIR Technical report IR-203, University of Massachusetts Amherst. 2000. (with V. Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie and J. Allen)
[abstract | text]

"Relational Knowledge Discovery: Applications to Text." Invited presentation to the Spring 2000 Workshop on Text Mining. Institute for Mathematics and its Applications, University of Minnesota.

"TimeMines: Constructing Timelines with Statistical Models of Word Usage," Papers of the ACM SIGKDD 2000 Workshop on Text Mining. 73-80. (with R. Swan).
[abstract | text]

"Mining of Concurrent Text and Time Series." Papers of the ACM SIGKDD 2000 Workshop on Text Mining. 37-44. (with V. Lavrenko, M. Schmill, D. Lawrie, P. Ogilvie, and J. Allan).
[abstract | text]

"Iterative Classification in Relational Data." Learning Statistical Models From Relational Data: Papers from the AAAI Workshop. Menlo Park, CA: AAAI Press. WS-00-06. 42-49. (with J. Neville).
[abstract | text]

Learning Statistical Models from Relational Data: Papers from the AAAI 2000 Workshop. Menlo Park, CA: AAAI Press. 2000. (Editor with L. Getoor).

"Inferring Task Structure From Data." University of Massachusetts, Department of Computer Science. Technical Report UM-CS-2000-054. (with P. Utgoff and V. Lesser).
[abstract | text]

"Data Snooping, Dredging and Fishing: The Dark Side of Data Mining, A SIGKDD99 Panel Report." ACM SIGKDD Explorations, 1(2): 52-54.
[abstract | text]

"Data Snooping, Dredging and Fishing: The Dark Side of Data Mining." Invited presentation as part of a Panel at the Fifth ACM SIG-KDD International Conference on Knowledge Discovery and Data Mining (KDD-99). San Diego, CA. 17 August 1999. (Other panel participants: H. White and E. Leamer).

"The Ghost in the Machine: How a simple statistical error causes AI algorithms to be superstitious." Invited presentation to the Knowledge Media Institute, Open University. Milton Keynes, United Kingdom. 26 July 1999. Host: Marco Ramoni and Paola Sebastiani.

Interview on WGGB (News 40). 21 April 1999 (interview); May 1999 (aired). Interviewer: Janette Mandell.

"Multiple Comparisons in Induction Algorithms: Understanding and Correcting a Fundamental Statistical Error." Invited presentation at the Personal Systems and Advanced Systems Technology Colloquium, IBM Watson Research Center. 19 February 1999. Host: Murray Campbell.

"Coordinating agent activities in knowledge discovery processes." Proceedings of The International Joint Conference on Work Activities, Coordination and Collaboration. (with Y. Dong, B. Lerner, E. McCall, L. Osterweil, S. Sutton, Jr., and A. Wise).
[abstract | text]

"Efficient progressive sampling." Proceedings of the Fifth ACM SIG-KDD International Conference on Knowledge Discovery and Data Mining (KDD-99). pp. 23-32. (with F. Provost and T. Oates).
[abstract | text]

"Toward a theoretical understanding of why and when decision tree pruning algorithms fail." Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99). pp. 372-378. (with T. Oates).
[abstract | text]

"Learning quantitative knowledge for multiagent coordination." Proceedings of The Sixteenth National Conference on Artificial Intelligence (AAAI-99). pp. 24-31. (with M. Atighetchi, R. Vincent and V. Lesser)
[abstract | text]

"Evaluating Machine Learning and Knowledge Discovery." Tutorial presented at the International Joint Conference on Artificial Intelligence (IJCAI99). Stockholm, Sweden. July 1999. (with Foster Provost).

"Evaluating Machine Learning and Knowledge Discovery." Tutorial presented at the National Conference on Artificial Intelligence (AAAI99). Orlando, Florida. July 1999. (with Foster Provost).

"Knowledge Discovery and Machine Learning for Transnational Threat Analysis." Invited presentation to the Information Systems Office, Defense Advanced Research Projects Agency. Arlington, VA. 8 Febr 1999. Briefing to Director and Asst. Director of Information Systems Office (ISO).

"Statistical challenges to inductive inference in linked data". Preliminary Papers of the Seventh International Workshop on Artificial Intelligence and Statistics. 1999.
[abstract | text]

"Multiple Comparisons in Induction Algorithms: Understanding and Correcting a Fundamental Statistical Error." Invited presentation at Compaq Cambridge Research Laboratory. Cambridge, MA. 9 Dec 1998.

"Superstitious Learning in People and Machines: Understanding and Correcting a Common Error." Invited presentation at Hampshire College. Amherst, MA. 4 Dec 1998. Host: Lee Spector.

"Knowledge Discovery for Counter-Transnational Threat Analysis." Invited presentation at the MITRE Corporation. Bedford, MA. 20 Nov 1998. Host: Mark Maybury.

"Relational Knowledge Discovery" and "Multiple comparisons in induction algorithms." Invited presentation to the IBM Hawthorne Research Center. 18 Nov 1998. Host: Marissa Viveros.

"The Ghost in the Machine: How a simple statistical error causes machine learning algorithms to be superstitious." Invited presentation at the Computer Science Department, Williams College. Williamstown, MA. 13 Oct 1998. Host: Andrea Danyluk.

Artificial Intelligence and Link Analysis: Papers from the 1998 AAAI Fall Symposium. Menlo Park, CA: AAAI Press. 1998. (Editor, with H. Goldberg).

"Survey: AI Technologies." Presented at the 1998 AAAI Symposium on AI and Link Analysis. Orlando, FL. 24 October 1998.

"Relational Knowledge Discovery." Invited presentation at the MITRE Corporation. Bedford, MA. 10 Dec 1998. Host: Rob Hyland.

Recommendations Report: DARPA Workshop on Knowledge Discovery, Data Mining, and Machine Learning (KDD-ML). Arlington, VA: Defense Advanced Research Projects Agency. 1998. (Editor, with M. Goldszmidt).

"Discovering rules for clustering and predicting asynchronous events." Predicting the Future: AI Approaches to Time-Series Problems: Papers from the 1998 Workshop. 1998. 73-79. (with T. Oates)
[abstract | text]

"Evaluating Knowledge Discovery and Data Mining." A tutorial to be given at the Fourth International Conference on Knowledge Discovery and Data Mining. August 1998. (with Foster Provost).
[abstract | links]

"Large Datasets Lead to Overly Complex Models: an Explanation and a Solution." To appear in Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. August 1998. (with Tim Oates).
[abstract | text]

"Correlating and Predicting Asynchronous Events." In Predicting the Future: AI Approaches to Time Series Workshop - AAAI-98. (with Tim Oates and Paul Cohen).
[abstract | text]

"Prospective Technology Assessment of Knowledge Discovery Systems." Presentation at Data Mining: The Search for Business Intelligence. Symposium presented by the Central Ohio Chapter of ACM. May 15, 1998. Columbus Ohio.
[abstract]

"Adjusting for Multiple Comparisons in Decision Tree Pruning." Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. August 1997. (with Matt Schmill).
[abstract | text]

"Prospective Assessment of AI Technologies for Fraud Detection: A Case Study." Working Papers of the AAAI-97 Workshop on Artificial Intelligence Approaches to Fraud Detection and Risk Management. July 1997.
[abstract | text | links]

"Building Simple Models: A Case Study with Decision Trees." Proceedings of the Second International Symposium on Intelligent Data Analysis. July 1997. (with T. Oates and P. R. Cohen).
[abstract | text]

"The Effects of Training Set Size on Decision Tree Complexity." Proceedings of the Fourteenth International Conference on Machine Learning. 1997. (with T. Oates)
[abstract | text]

"Unique Challenges of Managing Inductive Knowledge." Working Papers of the AAAI 1997 Spring Symposium on Artificial Intelligence in Knowledge Management. Also in Working Papers of the AAAI-97 Workshop on Artificial Intelligence and Knowledge Management, July 1997.
[abstract | text | links]

"Adjusting for Multiple Testing in Decision Tree Pruning." Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. January 1997. pp. 295-302.
[abstract | text]

"Overfitting Explained." Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. January 1997. pp. 115-122. (with P. r. Cohen)
[abstract | text]

"The Effects of Training Set Size on Decision Tree Complexity." Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. January 1997. pp. 379-390. (with T. Oates)
[abstract | text]

"A Family of Algorithms for Finding Temporal Structure in Data." Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. pp. 371-378. (with T. Oates, M. Schmill, and P. r. Cohen)
[abstract | text]

"Data Mining." Information Technology Outlook 1997. Paris, France: Organisation for Economic Cooperation and Development (OECD).

"Component Software." Information Technology Outlook 1997. Paris, France: Organisation for Economic Cooperation and Development (OECD).

"Data Mining." Presentation to the Organisation for Economic Cooperation and Development. Paris, France. August 19, 1996.

"Component Software." Presentation to the Organisation for Economic Cooperation and Development. Paris, France. August 19, 1996.

"Technology, Language, and Public Decisions: Finding Common Ground for Experts and Citizens." Proceedings of the 1996 International Symposium on Technology and Society, June 21-22, 1996. (with T. La Porte)
[abstract | text | links]

"The U.S. Congressional Office of Technology Assessment: Lessons Learned." Panel Discussion. 1996 International Symposium on Technology and Society: Technical Expertise and Public Decisions. The Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ. June 22, 1996. (with T. La Porte, V. Coates, and F. Wood)

"Data Mining." Presentation to the Technology Assessment Staff at the Nuclear Regulatory Commission, Washington, DC, June 12, 1996.

A Prototype for ECS Fault Identification: Requirements and Design. Prepared for Hughes Information Technology Corporation. February 1996. (with T. Oates and P. r. Cohen)

Technologies for Fault Management. Prepared for Hughes Information Technology Corporation. December 31, 1995. (with T. Oates and P. r. Cohen).

U.S. Congress, Office of Technology Assessment, Information Technologies for the Control of Money Laundering, OTA-ITC-630 (Washington, DC: U.S. Government Printing Office, September 1995).
[abstract | text | links]

"Testing Statistical Significance in Machine Learning Systems: Theoretical and Practical Methods," Presentation to the Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory. Washington, DC. June 30, 1995.
[abstract | reading | links]

"Significance Testing in Machine Learning: Theory and Practice," Presentation to the Department of Computer Science, University of Massachusetts. Amherst, Massachusetts. April 3, 1995.
[abstract | links]

"Environmental Costs of Electricity," Presentation to the Department of Engineering and Public Policy, Carnegie Mellon University. Pittsburgh, Pennsylvania. February 14, 1995.
[abstract | reading | links]

U.S. Congress, Office of Technology Assessment, Studies of the Environmental Costs of Electricity, OTA-ETI-134 (Washington, DC: U.S. Government Printing Office, September 1994).
[abstract | text | links]

"Technology and Design," Presentation to Professional Pugwash, Washington Chapter. Washington, DC. May 25, 1994. (with T. LaPorte).
[abstract | reading | links]

"Industrial Ecology: The Role of Government," The Greening of Industrial Ecosystems, B. Allenby and D. Richards (Eds.), 123-133. Washington, DC: National Academy Press, 1994. (with M. Weinberg, G. Eyring, and J. Raguso).
[order | links]

Demonstration of the World-Wide Web to Members of Congress and staff of OTA's Technology Assessment Board, U.S. Capitol. Washington, DC. March 24, 1994.

"Using the World Wide Web as an Information Resource," Presentation to the Office of Technology Assessment. Washington, DC. January 27, 1994. (with S. Paul).

"Energy Externalities and the Illusion of Policy Convergence," Technology: Whose Costs? Whose Benefits? International Symposium on Technology and Society 1993, Washington, DC, October 22-23, 1993, 23-25. New York, NY: IEEE, 1993.
[abstract | links]

"Green Design," Presentation to the Panel on Industrial Ecology, Technology and Environment Program, National Academy of Engineering. Washington, DC. June 28, 1993.

"Green Design: Integrating Environmental Concerns with Product Design," Presentation to the Energy and Environment Study Conference, U.S. Capitol. Washington, DC. December 8, 1992. (with G. Eyring and M. Weinberg).

U.S. Congress, Office of Technology Assessment, Green Products By Design: Choices for a Cleaner Environment, OTA-E-541 (Washington, DC: U.S. Government Printing Office, September 1992).
[abstract | text | links]

"Green Design, Packaging and Solid Waste," Presentation to the Council on Plastics and Packaging in the Environment, 1992 Semi-Annual Issues Forum. Chicago, Illinois. June 11, 1992.

Induction with Randomization Testing: Decision-Oriented Analysis of Large Data Sets. Doctoral dissertation. Department of Engineering and Policy, Washington University, St. Louis Missouri. 1992.
[abstract | text | citations | links | committee]

"Green Design: Legislative Perspectives," Presentation to the First Vehicle Recycling Partnership Forum. Ford Motor Company, Dearborn, Michigan. March 16, 1992.

"New Technologies for Data Analysis," Presentation to the Office of Technology Assessment. Washington, DC. December 12, 1991.
[abstract | reading | links]

"Knowledge Discovery Through Induction with Randomization Testing," Proceedings of the 1991 Knowledge Discovery in Databases Workshop, G. Piatetsky-Shapiro (Ed.), 148-159. Menlo Park, CA: AAAI, 1991.
[abstract | text | figures | citations]

"Knowledge Acquisition Through Induction with Randomization Testing," (poster), Eighth International Workshop on Machine Learning, Evanston, IL, June 1991.

"Computer-Assisted Induction," Proceedings of the Third Midwest Artificial Intelligence and Cognitive Science Society Conference, R. Gamble and W. Ball (Eds.), 16-20, 1991.

"Artificial Intelligence, Data Analysis and the Diagnosis of Dementia," Presentation to the Alzheimer's Disease Research Center, Washington University Medical School. St. Louis, Missouri. February 26, 1991. Repeated for External Review Committee on May 10, 1991.

"Randomization Testing: A Significance Testing Method for Machine Learning," (poster). Third International Workshop on AI and Statistics, Ft. Lauderdale, FL, January 2-5, 1991.

"An Introduction to Machine Learning," Presentation to the St. Louis Special Interest Group in Artificial Intelligence. St. Louis, Missouri. April 18, 1990.

"Concept Reliability in Machine Learning," Proceedings of the Second Midwest Artificial Intelligence and Cognitive Science Society Conference, J. Dinsmore and T. Koschmann (Eds.), 132-136, 1990.
[abstract | text]

"Predicting the Probability of Groundwater Contamination Using Machine Learning Techniques," Third Workshop on AI Research in Environmental Science (no proceedings published), Washington, DC, May 2-4, 1989.

"Applying Decision Analysis to Determine the Effect of Smoke Detector Laws on Fire Loss in the United States," Risk Analysis, 9(1):79-89, March 1989. (with A. Tome and W. Darby).
[abstract]

"Detecting Groundwater Contamination Using Machine Learning," Presentation to The Institute of Management Sciences, St. Louis Chapter. St. Louis, Missouri. March 1989.

"Heuristic Search and Significance Testing," (poster), Second International Workshop on AI and Statistics, Ft. Lauderdale, FL, January 5-7, 1989.

Methods for Classifying Contaminated Groundwater Sites: Techniques from Artificial Intelligence and Statistics. Unpublished master's thesis. Department of Engineering and Policy, Washington University, St. Louis Missouri. 1988.

Feedback Fineprint