Peter J. Haas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
66
Venues
15
Active years
1992–2025
Best venue rank
A*
Where they publish
Papers
66 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIED | Embedding Ethical Awareness in Computer Science and AI Education: The PEaRCE Approach to Responsible Computing. | Mohammad Hadi Nezhad, Francisco Enrique Vicente Castro, Eugene Mak, Peter J. Haas, Danielle Allessio, Leon J. Osterweil, Injila Rasul, Heather M. Conboy, Ivon Arroyo |
| 2025 | CHI | What-if Analysis for Business Professionals: Current Practices and Future Opportunities. | Sneha Gathani, Zhicheng Liu, Peter J. Haas, agatay Demiralp |
| 2025 | ICDT | Data Management Perspectives on Prescriptive Analytics (Invited Talk). | Alexandra Meliou, Azza Abouzied, Peter J. Haas, Riddho R. Haque, Anh L. Mai, Vasileios Vittis |
| 2025 | WSC | Simulation Optimization 2050 and Beyond. | Soumyadip Ghosh, Peter J. Haas, L. Jeff Hong, Jonathan Ozik, Benjamin G. Thengvall |
| 2024 | WSC | Tutorial: Artificial Neural Networks for Discrete-Event Simulation. | Peter J. Haas |
| 2023 | WSC | Causal Dynamic Bayesian Networks for Simulation Metamodeling. | Pracheta Amaranath, Peter J. Haas, David D. Jensen, Sam Witty |
| 2023 | WSC | Efficient Hybrid Simulation Optimization via Graph Neural Network Metamodeling. | Wang Cen, Peter J. Haas |
| 2023 | SIGCSE | Piloting an Interactive Ethics and Responsible Computing Learning Environment in Undergraduate CS Courses. | Francisco Castro, Sahitya Raipura, Heather M. Conboy, Peter J. Haas, Leon J. Osterweil, Ivon Arroyo |
| 2022 | CIDR | Augmenting Decision Making via Interactive What-If Analysis. | Sneha Gathani, Madelon Hulsebos, James Gale, Peter J. Haas, agatay Demiralp |
| 2022 | WSC | Enhanced Simulation Metamodeling via Graph and Generative Neural Networks. | Wang Cen, Peter J. Haas |
| 2020 | WSC | NIM: Modeling and Generation of Simulation Inputs Via Generative Neural Networks. | Wang Cen, Emily A. Herbert, Peter J. Haas |
| 2020 | SIGMOD | Stochastic Package Queries in Probabilistic Databases. | Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J. Haas, Alexandra Meliou |
| 2019 | SIGMOD | MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions. | Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, Berthold Reinwald, Peter J. Haas |
| 2018 | EDBT | Temporally-Biased Sampling for Online Model Management. | Brian Hentschel, Peter J. Haas, Yuanyuan Tian |
| 2015 | ICDE | Groupwise analytics via adaptive MapReduce. | Liping Peng, Vuk Ercegovac, Kai Zeng, Peter J. Haas, Andrey Balmin, Yannis Sismanis |
| 2015 | ICDE | Dynamic interaction graphs with probabilistic edge decay. | Wenlei Xie, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Peter J. Haas |
| 2015 | KDD | Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature. | Meenakshi Nagarajan, Angela D. Wilkins, Benjamin J. Bachman, Ilya B. Novikov, Shenghua Bao, Peter J. Haas, Mara E. Terrn-Daz, Sumit Bhatia, Anbu K. Adikesavan, Jacques J. Labrie, Sam Regenbogen, Christie M. Buchovecky, Curtis R. Pickering, Linda Kato, Andreas Martin Lisewski, Ana Lelescu, Houyin Zhang, Stephen Boyer, Griff Weber, Ying Chen, Lawrence A. Donehower, W. Scott Spangler, Olivier Lichtarge |
| 2014 | KDD | Automated hypothesis generation based on mining scientific literature. | W. Scott Spangler, Angela D. Wilkins, Benjamin J. Bachman, Meena Nagarajan, Tajhal Dayaram, Peter J. Haas, Sam Regenbogen, Curtis R. Pickering, Austin Comer, Jeffrey N. Myers, Ioana Stanoi, Linda Kato, Ana Lelescu, Jacques J. Labrie, Neha Parikh, Andreas Martin Lisewski, Lawrence A. Donehower, Ying Chen, Olivier Lichtarge |
| 2014 | PODS | Model-data Ecosystems: challenges, tools, and trends. | Peter J. Haas |
| 2014 | WSC | Improving the efficiency of stochastic composite simulation models via result caching. | Peter J. Haas |
| 2013 | EDBT | Eagle-eyed elephant: split-oriented indexing in Hadoop. | Mohamed Y. Eltabakh, Fatma zcan, Yannis Sismanis, Peter J. Haas, Hamid Pirahesh, Jan Vondrk |
| 2013 | WSC | Panel: Are we effectively preparing our students to be certified analytics professionals? | Russell C. H. Cheng, Stewart Robinson, Peter J. Haas, Lee Schruben, Theresa M. Roeder |
| 2013 | SIGMOD | Simulation of database-valued markov chains using SimSQL. | Zhuhua Cai, Zografoula Vagena, Luis Leopoldo Perez, Subramanian Arumugam, Peter J. Haas, Christopher M. Jermaine |
| 2012 | ICDM | Topic Models over Spoken Language. | Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput |
| 2012 | WSC | On simulation of non-Markovian stochastic Petri nets with heavy-tailed firing times. | Peter W. Glynn, Peter J. Haas |
| 2011 | KDD | Large-scale matrix factorization with distributed stochastic gradient descent. | Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis |
| 2010 | SIGMOD | Ricardo: integrating R and Hadoop. | Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rainer Gemulla, Peter J. Haas, John McPherson |
| 2009 | ICDE | Resolution-Aware Query Answering for Business Intelligence. | Yannis Sismanis, Ling Wang, Ariel Fuxman, Peter J. Haas, Berthold Reinwald |
| 2009 | SIGMOD | Uncertainty management in rule-based information extraction systems. | Eirinaios Michelakis, Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan |
| 2009 | SIGMOD | E = MC | Fei Xu, Kevin S. Beyer, Vuk Ercegovac, Peter J. Haas, Eugene J. Shekita |
| 2008 | SIGMOD | MCDB: a monte carlo approach to managing uncertain data. | Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher M. Jermaine, Peter J. Haas |
| 2007 | BTW | Integrating Query-Feedback Based Statistics into Informix Dynamic Server. | Alexander Behm, Volker Markl, Peter J. Haas, Keshava Murthy |
| 2007 | PODS | Maintaining bernoulli samples over evolving multisets. | Rainer Gemulla, Wolfgang Lehner, Peter J. Haas |
| 2007 | SIGMOD | On synopses for distinct-value estimation under multiset operations. | Kevin S. Beyer, Peter J. Haas, Berthold Reinwald, Yannis Sismanis, Rainer Gemulla |
| 2007 | VLDB | Detecting Attribute Dependencies from Query Feedback. | Peter J. Haas, Fabian Hueske, Volker Markl |
| 2006 | EDBT | Integrating a Maximum-Entropy Cardinality Estimator into DB2 UDB. | Marcel Kutsch, Peter J. Haas, Volker Markl, Nimrod Megiddo, Tam Minh Tran |
| 2006 | ICDE | Techniques for Warehousing of Sample Data. | Paul G. Brown, Peter J. Haas |
| 2006 | ICDE | ISOMER: Consistent Histogram Construction Using Query Feedback. | Utkarsh Srivastava, Peter J. Haas, Volker Markl, Marcel Kutsch, Tam Minh Tran |
| 2006 | SIGMOD | MAXENT: consistent cardinality estimation in action. | Volker Markl, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Nimrod Megiddo |
| 2006 | VLDB | A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets. | Rainer Gemulla, Wolfgang Lehner, Peter J. Haas |
| 2006 | VLDB | GORDIAN: Efficient and Scalable Discovery of Composite Keys. | Yannis Sismanis, Paul Brown, Peter J. Haas, Berthold Reinwald |
| 2005 | SIGMOD | Automated statistics collection in action. | Peter J. Haas, Mokhtar Kandil, Alberto Lerner, Volker Markl, Ivan Popivanov, Vijayshankar Raman, Daniel C. Zilio |
| 2005 | VLDB | Consistently Estimating the Selectivity of Conjuncts of Predicates. | Volker Markl, Nimrod Megiddo, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Utkarsh Srivastava |
| 2005 | VLDB | Statistical Learning Techniques for Costing XML Queries. | Ning Zhang, Peter J. Haas, Vanja Josifovski, Guy M. Lohman, Chun Zhang |
| 2004 | WSC | Stochastic Petri Nets for Modelling and Simulation. | Peter J. Haas |
| 2004 | SIGMOD | A Bi-Level Bernoulli Scheme for Database Sampling. | Peter J. Haas, Christian Koenig |
| 2004 | SIGMOD | CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies. | Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul Brown, Ashraf Aboulnaga |
| 2004 | VLDB | Automated Statistics Collection in DB2 UDB. | Ashraf Aboulnaga, Peter J. Haas, Sam Lightstone, Guy M. Lohman, Volker Markl, Ivan Popivanov, Vijayshankar Raman |
| 2004 | VLDB | CORDS: Automatic Generation of Correlation Statistics in DB2. | Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G. Brown, Ashraf Aboulnaga |
| 2003 | KDD | Efficient data reduction with EASE. | Herv Brnnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann |
| 2003 | SIGMOD | A System for Watermarking Relational Databases. | Rakesh Agrawal, Peter J. Haas, Jerry Kiernan |
| 2003 | VLDB | BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data. | Paul Brown, Peter J. Haas |
| 2002 | ICDE | FAST: A New Sampling-Based Algorithm for Discovering Association Rules. | Bin Chen, Peter J. Haas, Peter Scheuermann |
| 2002 | KDD | A new two-phase sampling based algorithm for discovering association rules. | Bin Chen, Peter J. Haas, Peter Scheuermann |
| 2002 | SIGMOD | A scalable hash ripple join algorithm. | Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey F. Naughton |
| 2001 | SIGMOD | Online Query Processing. | Peter J. Haas, Joseph M. Hellerstein |
| 1999 | SIGMOD | Ripple Joins for Online Aggregation. | Peter J. Haas, Joseph M. Hellerstein |
| 1999 | SSDBM | Techniques for Online Exploration of Large Object-Relational Datasets. | Peter J. Haas |
| 1997 | SIGMOD | Online Aggregation. | Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang |
| 1997 | SSDBM | Large-Sample and Deterministic Confidence Intervals for Online Aggregation. | Peter J. Haas |
| 1996 | SIGMOD | Improved Histograms for Selectivity Estimation of Range Predicates. | Viswanath Poosala, Yannis E. Ioannidis, Peter J. Haas, Eugene J. Shekita |
| 1995 | ICDE | Sampling-Based Selectivity Estimation for Joins Using Augmented Frequent Value Statistics. | Peter J. Haas, Arun N. Swami |
| 1995 | VLDB | Sampling-Based Estimation of the Number of Distinct Values of an Attribute. | Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Lynne Stokes |
| 1994 | PODS | On the Relative Cost of Sampling for Join Selectivity Estimation. | Peter J. Haas, Jeffrey F. Naughton, Arun N. Swami |
| 1993 | PODS | Fixed-Precision Estimation of Join Selectivity. | Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Arun N. Swami |
| 1992 | SIGMOD | Sequential Sampling Procedures for Query Size Estimation. | Peter J. Haas, Arun N. Swami |