David Jensen

Email: jensen@cs.umass.edu

Personal Webpage: http://

Papers

  • Foster Provost. David Jensen. Tim Oates. Efficient Progressive Sampling. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining. 1999. (PDF)

  • David Jensen. Michael Atighetchi. Regis Vincent. Victor R. Lesser. Learning Quantitative Knowledge for Multiagent Coordination. Proceedings of the Sixteenth National Conference on Artificial Intelligence. 1999. (PDF)

  • Tim Oates. David Jensen. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. Proceedings of the Sixteenth National Conference on Artificial Intelligence. 1999. (PDF)

  • David Jensen. Statistical Challenges to Inductive Inference in Linked Data. Uncertainty '99: The Seventh International Workshop on Artificial Intelligence and Statistics. 1999. (PDF)

  • Tim Oates. David Jensen. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. 1998. (PDF)

  • Tim Oates. David Jensen. Paul R. Cohen. Discovering Rules for Clustering and Predicting Asynchronous Events. Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98. 1998. (PDF)

  • Tim Oates. David Jensen. Paul R. Cohen. Discovering Rules for Clustering and Predicting Asynchronous Events. Predicting the Future: AI Approaches to Time Series Workshop, AAAI. 1998. (PDF)

  • Paul R. Cohen. David Jensen. Overfitting Explained. Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • David Jensen. Prospective Assessment of AI Technologies for Fraud Detection and Risk Management. AI Approaches to Fraud Detection and Risk Management. Collected Papers from the 1997 Workshop. 1997. (PDF)

  • David Jensen. Tim Oates. Paul R. Cohen. Building Simple Models: A Case Study with Decision Trees. Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium. 1997. (PDF)

  • David Jensen. Unique Challenges of Managing Inductive Knowledge. AAAI 1997 Spring Symposium on Artificial Intelligence in Knowledge Management. 1997. (PDF)

  • David Jensen. Matthew Schmill. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 1997. (PDF)

  • Tim Oates. David Jensen. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning; An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • Tim Oates. Matthew Schmill. David Jensen. Paul R. Cohen. A Family of Algorithms for Finding Temporal Structure in Data. Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • David Jensen. Prospective Assessment of AI Technologies for Fraud Detection and Risk Management. AI Approaches to Fraud Detection and Risk Management. Collected Papers from the 1997 Workshop. 1997. (PDF)

  • David Jensen. Tim Oates. Paul R. Cohen. Building Simple Models: A Case Study with Decision Trees. Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium. 1997. (PDF)

  • David Jensen. Adjusting for Multiple Testing in Decision Tree Pruning. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • David Jensen. Unique Challenges of Managing Inductive Knowledge. AAAI 1997 Spring Symposium on Artificial Intelligence in Knowledge Management. pp 75-81. Also in: Artificial Intelligence and Knowledge Management. Collected Papers from the 1997 Workshop. Technical Report WS-97-09. 1997. (PDF)

  • David Jensen. Matthew Schmill. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 1997. (PDF)

  • Tim Oates. David Jensen. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning, An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • Tim Oates. Matthew Schmill. David Jensen. Paul R. Cohen. A Family of Algorithms for Finding Temporal Structure in Data. Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

  • Tim Oates. David Jensen. Paul R. Cohen. Automatically Acquiring Rules for Event Correlation from Event Logs. Technical Report 97-14, Dept. of Computer Science, University of Massachusetts/Amherst.. 1997. (PDF)

  • David Jensen. Adjusting for Multiple Testing in Decision Tree Pruning. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics. 1996. (PDF)

  • David Jensen. LaPorte T.. Technology, Language, and Public Decisions: Finding Common Ground for Experts and Citizens. 7th International Symposium on Technology and Society. 1996. (PDF)

  • David Jensen. LaPorte T.. Technology, Language, and Public Decisions: Finding Common Ground for Experts and Citizens. 7th International Symposium on Technology and Society. 1996. (PDF)

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