Peter J. Haas

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2013
76Eagle-eyed elephant: split-oriented indexing in Hadoop. Mohamed Y. Eltabakh, Fatma Özcan, Yannis Sismanis, Peter J. Haas, Hamid Pirahesh, Jan Vondrák. EDBT 2013, 89-100. Web SearchBibTeXDownload
2012
75Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Graham Cormode, Minos N. Garofalakis, Peter J. Haas, Chris Jermaine. Foundations and Trends in Databases (4): 1-294 (2012). Web SearchBibTeXDownload
74Topic Models over Spoken Language. Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput. ICDM 2012, 1062-1067. Web SearchBibTeXDownload
73Splash: a platform for analysis and simulation of health. Wang Chiew Tan, Peter J. Haas, Ronald L. Mak, Cheryl A. Kieliszewski, Patricia G. Selinger, Paul P. Maglio, Susanne Glissmann, Melissa Cefkin, Yinan Li. IHI 2012, 543-552. Web SearchBibTeXDownload
72On simulation of non-Markovian stochastic Petri nets with heavy-tailed firing times. Peter W. Glynn, Peter J. Haas. Winter Simulation Conference 2012, 301. Web SearchBibTeXDownload
2011
71The 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
70Sketches get sketchier. Peter J. Haas. Commun. ACM (54): 100 (2011). Web SearchBibTeXDownload
69Information 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
68Large-scale matrix factorization with distributed stochastic gradient descent. Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis. KDD 2011, 69-77. Web SearchBibTeXDownload
67Data 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
66From MUD to MIRE: Managing Inherent Risk in the Enterprise. Peter J. Haas. MUD 2010, 1-2. Web SearchBibTeX
65MCDB-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
64Social 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
63Ricardo: 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
62Distinct-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
61Resolution-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
60Uncertainty 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
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
58Discovering 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
57Special issue on uncertain and probabilistic databases. Peter J. Haas, Dan Suciu. VLDB J. (18): 987-988 (2009). Web SearchBibTeXDownload
2008
56Main-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
55MCDB: 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
54Maintaining 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
53Integrating 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
52Maintaining bernoulli samples over evolving multisets. Rainer Gemulla, Wolfgang Lehner, Peter J. Haas. PODS 2007, 93-102. Cited by 7Web SearchBibTeXDownload
51On 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
50Detecting Attribute Dependencies from Query Feedback. Peter J. Haas, Fabian Hueske, Volker Markl. VLDB 2007, 830-841. Cited by 3Web SearchBibTeXDownload
49Consistent 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
48Integrating 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
47Techniques for Warehousing of Sample Data. Paul G. Brown, Peter J. Haas. ICDE 2006, 6. Cited by 18Web 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
45Making 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
44MAXENT: consistent cardinality estimation in action. Volker Markl, Marcel Kutsch, Tam Minh Tran, Peter J. Haas, Nimrod Megiddo. SIGMOD Conference 2006, 775-777. Web SearchBibTeXDownload
43GORDIAN: Efficient and Scalable Discovery of Composite Keys. Yannis Sismanis, Paul Brown, Peter J. Haas, Berthold Reinwald. VLDB 2006, 691-702. Cited by 17Web SearchBibTeXDownload
42A 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
41Toward 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
40Automated 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
39Statistical 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
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
2004
37Automatic 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
36A Bi-Level Bernoulli Scheme for Database Sampling. Peter J. Haas, Christian Koenig. SIGMOD Conference 2004, 275-286. Cited by 27Web SearchBibTeXDownload
35CORDS: 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
34CORDS: 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
33Automated 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
32Stochastic Petri Nets for Modelling and Simulation. Peter J. Haas. Winter Simulation Conference 2004, 101-112. Cited by 69Web SearchBibTeXDownload
2003
31Efficient data reduction with EASE. Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann. KDD 2003, 59-68. Cited by 34Web SearchBibTeXDownload
30A System for Watermarking Relational Databases. Rakesh Agrawal, Peter J. Haas, Jerry Kiernan. SIGMOD Conference 2003, 674. Cited by 13Web SearchBibTeXDownload
29BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data. Paul Brown, Peter J. Haas. VLDB 2003, 668-679. Web SearchBibTeXDownload
28Watermarking relational data: framework, algorithms and analysis. Rakesh Agrawal, Peter J. Haas, Jerry Kiernan. VLDB J. (12): 157-169 (2003). Cited by 206Web SearchBibTeXDownload
2002
27FAST: A New Sampling-Based Algorithm for Discovering Association Rules. Bin Chen, Peter J. Haas, Peter Scheuermann. ICDE 2002, 263. Cited by 3Web SearchBibTeXDownload
26A 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
25On 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
24A 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
23Estimation of delays in non-regenerative discrete-event stochastic systems. Peter J. Haas. SIGMETRICS Performance Evaluation Review (28): 36-38 (2001). Web SearchBibTeXDownload
22Online Query Processing. Peter J. Haas, Joseph M. Hellerstein. SIGMOD Conference 2001, 623. Cited by 8Web SearchBibTeXDownload
1999
21Interactive 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
20Estimation Methods for Nonregenerative Stochastic Petri Nets. Peter J. Haas. IEEE Trans. Software Eng. (25): 218-236 (1999). Cited by 4Web SearchBibTeXDownload
19Ripple Joins for Online Aggregation. Peter J. Haas, Joseph M. Hellerstein. SIGMOD Conference 1999, 287-298. Cited by 236Web SearchBibTeXDownload
18Techniques for Online Exploration of Large Object-Relational Datasets. Peter J. Haas. SSDBM 1999, 4-12. Cited by 14Web SearchBibTeXDownload
1997
17The 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 SearchBibTeXDownload
16Online Aggregation. Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang. SIGMOD Conference 1997, 171-182. Cited by 572Web SearchBibTeXDownload
15Large-Sample and Deterministic Confidence Intervals for Online Aggregation. Peter J. Haas. SSDBM 1997, 51-63. Cited by 74Web SearchBibTeXDownload
1996
14Estimation methods for passage times using one-dependent cycles. Peter J. Haas, Gerald S. Shedler. Discrete Event Dynamic Systems (6): 43-72 (1996). Web SearchBibTeXDownload
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 SearchBibTeXDownload
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 SearchBibTeXDownload
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 SearchBibTeXDownload
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 SearchBibTeXDownload
1992
6Sequential Sampling Procedures for Query Size Estimation. Peter J. Haas, Arun N. Swami. SIGMOD Conference 1992, 341-350. Cited by 169Web SearchBibTeXDownload
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 SearchBibTeXDownload
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
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