Peter J. Haas

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2011
70The monte carlo database system: Stochastic analysis close to the data. Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Chris Jermaine, Peter J. Haas. ACM Trans. Database Syst. (36): 18 (2011). Web SearchBibTeXDownload
69Sketches get sketchier. Peter J. Haas. Commun. ACM (54): 100 (2011). Web SearchBibTeXDownload
68Information technology for healthcare transformation. Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang-Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu. IBM Journal of Research and Development (55): 6 (2011). Web SearchBibTeXDownload
67Large-scale matrix factorization with distributed stochastic gradient descent. Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis. KDD 2011, 69-77. Web SearchBibTeXDownload
66Data is Dead... Without What-If Models. Peter J. Haas, Paul P. Maglio, Patricia G. Selinger, Wang-Chiew Tan. PVLDB (4): 1486-1489 (2011). Web SearchBibTeXDownload
2010
65From MUD to MIRE: Managing Inherent Risk in the Enterprise. Peter J. Haas. MUD 2010, 1-2. Web SearchBibTeX
64MCDB-R: Risk Analysis in the Database. Subi Arumugam, Ravi Jampani, Luis Leopoldo Perez, Fei Xu, Christopher M. Jermaine, Peter J. Haas. PVLDB (3): 782-793 (2010). Web SearchBibTeXDownload
63Social Factors in Creating an Integrated Capability for Health System Modeling and Simulation. Paul P. Maglio, Melissa Cefkin, Peter J. Haas, Pat Selinger. SBP 2010, 44-51. Web SearchBibTeXDownload
62Ricardo: integrating R and Hadoop. Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rainer Gemulla, Peter J. Haas, John McPherson. SIGMOD Conference 2010, 987-998. Web SearchBibTeXDownload
2009
61Distinct-value synopses for multiset operations. Kevin S. Beyer, Rainer Gemulla, Peter J. Haas, Berthold Reinwald, Yannis Sismanis. Commun. ACM (52): 87-95 (2009). Web SearchBibTeXDownload
60Resolution-Aware Query Answering for Business Intelligence. Yannis Sismanis, Ling Wang, Ariel Fuxman, Peter J. Haas, Berthold Reinwald. ICDE 2009, 976-987. Cited by 1Web SearchBibTeXDownload
59E = MC3: managing uncertain enterprise data in a cluster-computing environment. Fei Xu, Kevin S. Beyer, Vuk Ercegovac, Peter J. Haas, Eugene J. Shekita. SIGMOD Conference 2009, 441-454. Cited by 1Web SearchBibTeXDownload
58Uncertainty management in rule-based information extraction systems. Eirinaios Michelakis, Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan. SIGMOD Conference 2009, 101-114. Cited by 1Web SearchBibTeXDownload
57Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey. Peter J. Haas, Ihab F. Ilyas, Guy M. Lohman, Volker Markl. Statistical Analysis and Data Mining (1): 223-250 (2009). Web SearchBibTeXDownload
56Special issue on uncertain and probabilistic databases. Peter J. Haas, Dan Suciu. VLDB J. (18): 987-988 (2009). Web SearchBibTeXDownload
2008
55Main-memory scan sharing for multi-core CPUs. Lin Qiao, Vijayshankar Raman, Frederick Reiss, Peter J. Haas, Guy M. Lohman. PVLDB (1): 610-621 (2008). Cited by 9Web SearchBibTeXDownload
54MCDB: a monte carlo approach to managing uncertain data. Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher M. Jermaine, Peter J. Haas. SIGMOD Conference 2008, 687-700. Cited by 35Web SearchBibTeXDownload
53Maintaining bounded-size sample synopses of evolving datasets. Rainer Gemulla, Wolfgang Lehner, Peter J. Haas. VLDB J. (17): 173-202 (2008). Cited by 3Web SearchBibTeXDownload
2007
52Integrating Query-Feedback Based Statistics into Informix Dynamic Server. Alexander Behm, Volker Markl, Peter J. Haas, Keshava Murthy. BTW 2007, 582-601. Cited by 1Web SearchBibTeXDownload
51Maintaining bernoulli samples over evolving multisets. Rainer Gemulla, Wolfgang Lehner, Peter J. Haas. PODS 2007, 93-102. Cited by 7Web SearchBibTeXDownload
50On synopses for distinct-value estimation under multiset operations. Kevin S. Beyer, Peter J. Haas, Berthold Reinwald, Yannis Sismanis, Rainer Gemulla. SIGMOD Conference 2007, 199-210. Cited by 22Web SearchBibTeXDownload
49Detecting Attribute Dependencies from Query Feedback. Peter J. Haas, Fabian Hueske, Volker Markl. VLDB 2007, 830-841. Cited by 3Web SearchBibTeXDownload
48Consistent selectivity estimation via maximum entropy. Volker Markl, Peter J. Haas, Marcel Kutsch, Nimrod Megiddo, Utkarsh Srivastava, Tam Minh Tran. VLDB J. (16): 55-76 (2007). Cited by 15Web SearchBibTeXDownload
2006
47Integrating a Maximum-Entropy Cardinality Estimator into DB2 UDB. Marcel Kutsch, Peter J. Haas, Volker Markl, Nimrod Megiddo, Tam Minh Tran. EDBT 2006, 1092-1096. Cited by 5Web SearchBibTeXDownload
46ISOMER: Consistent Histogram Construction Using Query Feedback. Utkarsh Srivastava, Peter J. Haas, Volker Markl, Marcel Kutsch, Tam Minh Tran. ICDE 2006, 39. Cited by 26Web SearchBibTeXDownload
45Techniques for Warehousing of Sample Data. Paul G. Brown, Peter J. Haas. ICDE 2006, 6. Cited by 18Web SearchBibTeXDownload
44Making DB2Products Self-Managing: Strategies and Experiences. Sam Lightstone, Guy M. Lohman, Peter J. Haas, Volker Markl, Jun Rao, Adam J. Storm, Maheswaran Surendra, Daniel C. Zilio. IEEE Data Eng. Bull. (29): 16-23 (2006). Cited by 9Web SearchBibTeX
43MAXENT: consistent cardinality estimation in action. Volker Markl, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Nimrod Megiddo. SIGMOD Conference 2006, 775-777. Web SearchBibTeXDownload
42GORDIAN: Efficient and Scalable Discovery of Composite Keys. Yannis Sismanis, Paul Brown, Peter J. Haas, Berthold Reinwald. VLDB 2006, 691-702. Cited by 17Web SearchBibTeXDownload
41A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets. Rainer Gemulla, Wolfgang Lehner, Peter J. Haas. VLDB 2006, 595-606. Cited by 12Web SearchBibTeXDownload
2005
40Toward Automated Large-Scale Information Integration and Discovery. Paul Brown, Peter J. Haas, Jussi Myllymaki, Hamid Pirahesh, Berthold Reinwald, Yannis Sismanis. Data Management in a Connected World 2005, 161-180. Cited by 15Web SearchBibTeXDownload
39Automated statistics collection in action. Peter J. Haas, Mokhtar Kandil, Alberto Lerner, Volker Markl, Ivan Popivanov, Vijayshankar Raman, Daniel C. Zilio. SIGMOD Conference 2005, 933-935. Web SearchBibTeXDownload
38Consistently Estimating the Selectivity of Conjuncts of Predicates. Volker Markl, Nimrod Megiddo, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Utkarsh Srivastava. VLDB 2005, 373-384. Cited by 27Web SearchBibTeXDownload
37Statistical Learning Techniques for Costing XML Queries. Ning Zhang, Peter J. Haas, Vanja Josifovski, Guy M. Lohman, Chun Zhang. VLDB 2005, 289-300. Cited by 28Web SearchBibTeXDownload
2004
36Automatic Relationship Discovery in Self-Managing Database Systems. Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G. Brown, Ashraf Aboulnaga. ICAC 2004, 340-341. Cited by 4Web SearchBibTeXDownload
35A Bi-Level Bernoulli Scheme for Database Sampling. Peter J. Haas, Christian Koenig. SIGMOD Conference 2004, 275-286. Cited by 27Web SearchBibTeXDownload
34CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies. Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul Brown, Ashraf Aboulnaga. SIGMOD Conference 2004, 647-658. Cited by 90Web SearchBibTeXDownload
33CORDS: Automatic Generation of Correlation Statistics in DB2. Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G. Brown, Ashraf Aboulnaga. VLDB 2004, 1341-1344. Cited by 7Web SearchBibTeXDownload
32Automated Statistics Collection in DB2 UDB. Ashraf Aboulnaga, Peter J. Haas, Sam Lightstone, Guy M. Lohman, Volker Markl, Ivan Popivanov, Vijayshankar Raman. VLDB 2004, 1146-1157. Cited by 34Web SearchBibTeXDownload
31Stochastic Petri Nets for Modelling and Simulation. Peter J. Haas. Winter Simulation Conference 2004, 101-112. Cited by 69Web SearchBibTeXDownload
2003
30Efficient data reduction with EASE. Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann. KDD 2003, 59-68. Cited by 34Web SearchBibTeXDownload
29A System for Watermarking Relational Databases. Rakesh Agrawal, Peter J. Haas, Jerry Kiernan. SIGMOD Conference 2003, 674. Cited by 13Web SearchBibTeXDownload
28BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data. Paul Brown, Peter J. Haas. VLDB 2003, 668-679. Web SearchBibTeXDownload
27Watermarking relational data: framework, algorithms and analysis. Rakesh Agrawal, Peter J. Haas, Jerry Kiernan. VLDB J. (12): 157-169 (2003). Cited by 206Web SearchBibTeXDownload
2002
26FAST: A New Sampling-Based Algorithm for Discovering Association Rules. Bin Chen, Peter J. Haas, Peter Scheuermann. ICDE 2002, 263. Cited by 3Web SearchBibTeXDownload
25A new two-phase sampling based algorithm for discovering association rules. Bin Chen, Peter J. Haas, Peter Scheuermann. KDD 2002, 462-468. Cited by 64Web SearchBibTeXDownload
24On the validity of long-run estimation methods for discrete-event systems. Peter J. Haas, Peter W. Glynn. SIGMETRICS Performance Evaluation Review (30): 35-37 (2002). Cited by 1Web SearchBibTeXDownload
23A scalable hash ripple join algorithm. Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey F. Naughton. SIGMOD Conference 2002, 252-262. Cited by 23Web SearchBibTeXDownload
2001
22Estimation of delays in non-regenerative discrete-event stochastic systems. Peter J. Haas. SIGMETRICS Performance Evaluation Review (28): 36-38 (2001). Web SearchBibTeXDownload
21Online Query Processing. Peter J. Haas, Joseph M. Hellerstein. SIGMOD Conference 2001, 623. Cited by 8Web SearchBibTeXDownload
1999
20Interactive data Analysis: The Control Project. Joseph M. Hellerstein, Ron Avnur, Andy Chou, Christian Hidber, Chris Olston, Vijayshankar Raman, Tali Roth, Peter J. Haas. IEEE Computer (32): 51-59 (1999). Cited by 98Web SearchBibTeXDownload
19Estimation Methods for Nonregenerative Stochastic Petri Nets. Peter J. Haas. IEEE Trans. Software Eng. (25): 218-236 (1999). Cited by 4Web SearchBibTeXDownload
18Ripple Joins for Online Aggregation. Peter J. Haas, Joseph M. Hellerstein. SIGMOD Conference 1999, 287-298. Cited by 236Web SearchBibTeX
17Techniques for Online Exploration of Large Object-Relational Datasets. Peter J. Haas. SSDBM 1999, 4-12. Cited by 14Web SearchBibTeX
1997
16The New Jersey Data Reduction Report. Daniel Barbará, William DuMouchel, Christos Faloutsos, Peter J. Haas, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Theodore Johnson, Raymond T. Ng, Viswanath Poosala, Kenneth A. Ross, Kenneth C. Sevcik. IEEE Data Eng. Bull. (20): 3-45 (1997). Cited by 217Web SearchBibTeX
15Online Aggregation. Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang. SIGMOD Conference 1997, 171-182. Cited by 572Web SearchBibTeX
14Large-Sample and Deterministic Confidence Intervals for Online Aggregation. Peter J. Haas. SSDBM 1997, 51-63. Cited by 74Web SearchBibTeX
1996
13Selectivity and Cost Estimation for Joins Based on Random Sampling. Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Arun N. Swami. J. Comput. Syst. Sci. (52): 550-569 (1996). Cited by 58Web SearchBibTeXDownload
12Improved Histograms for Selectivity Estimation of Range Predicates. Viswanath Poosala, Yannis E. Ioannidis, Peter J. Haas, Eugene J. Shekita. SIGMOD Conference 1996, 294-305. Cited by 416Web SearchBibTeX
1995
11Sampling-Based Selectivity Estimation for Joins Using Augmented Frequent Value Statistics. Peter J. Haas, Arun N. Swami. ICDE 1995, 522-531. Cited by 45Web SearchBibTeXDownload
10Sampling-Based Estimation of the Number of Distinct Values of an Attribute. Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Lynne Stokes. VLDB 1995, 311-322. Cited by 208Web SearchBibTeX
1994
9Networking Issues in PAGEIN: The "N" of "HPCN". Peter J. Haas, Paul Christ. HPCN 1994, 86-93. Cited by 1Web SearchBibTeXDownload
8On the Relative Cost of Sampling for Join Selectivity Estimation. Peter J. Haas, Jeffrey F. Naughton, Arun N. Swami. PODS 1994, 14-24. Cited by 34Web SearchBibTeX
1993
7Fixed-Precision Estimation of Join Selectivity. Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, Arun N. Swami. PODS 1993, 190-201. Cited by 34Web SearchBibTeX
1992
6Sequential Sampling Procedures for Query Size Estimation. Peter J. Haas, Arun N. Swami. SIGMOD Conference 1992, 341-350. Cited by 169Web SearchBibTeX
1989
5Stochastic Petri Net Representation of Discrete Event Simulations. Peter J. Haas, Gerald S. Shedler. IEEE Trans. Software Eng. (15): 381-393 (1989). Cited by 20Web SearchBibTeXDownload
1987
4Stochastic Petri Nets with Simultaneous Transition Firings. Peter J. Haas, Gerald S. Shedler. PNPM 1987, 24-33. Cited by 9Web SearchBibTeX
1986
3Regenerative Stochastic Petri Nets. Peter J. Haas, Gerald S. Shedler. Perform. Eval. (6): 189-204 (1986). Cited by 49Web SearchBibTeXDownload
1985
2Regenerative Simulation Methods for Local Area Computer Networks. Peter J. Haas, Gerald S. Shedler. IBM Journal of Research and Development (29): 194-205 (1985). Cited by 12Web SearchBibTeX
1Regenerative Simulation of Stochastic Petri Nets. Peter J. Haas, Gerald S. Shedler. PNPM 1985, 14-21. Cited by 10Web SearchBibTeX
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References
1. ^ ACM SIGMOD/PODS 2007 Conference - Retrieved 2010-12-11 - details
2. ^ ACM SIGMOD/PODS 2007 Conference - Retrieved 2010-12-11 - details
3. ^ VLDB 2006 - Full Program - Retrieved 2011-06-21 - details
4. ^ Untitled Document - Retrieved 2011-02-11 - details
5. ^ UT-Austin Data Mining Seminar Schedule Abstracts - Retrieved 2010-09-28 - details
6. ^ Lecture 5-7-10 UT Dallas Computer Science - Retrieved 2011-03-19 - details
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