| * | 2009 |
|---|
| 60 | EE | Yannis Sismanis,
Ling Wang,
Ariel Fuxman,
Peter J. Haas,
Berthold Reinwald:
Resolution-Aware Query Answering for Business Intelligence.
ICDE 2009: 976-987 |
| 59 | EE | Eirinaios Michelakis,
Rajasekar Krishnamurthy,
Peter J. Haas,
Shivakumar Vaithyanathan:
Uncertainty management in rule-based information extraction systems.
SIGMOD Conference 2009: 101-114 |
| 58 | EE | Fei Xu,
Kevin S. Beyer,
Vuk Ercegovac,
Peter J. Haas,
Eugene J. Shekita:
E = MC3: managing uncertain enterprise data in a cluster-computing environment.
SIGMOD Conference 2009: 441-454 |
| 57 | EE | Kevin S. Beyer,
Rainer Gemulla,
Peter J. Haas,
Berthold Reinwald,
Yannis Sismanis:
Distinct-value synopses for multiset operations.
Commun. ACM 52(10): 87-95 (2009) |
| 56 | EE | Peter J. Haas,
Ihab F. Ilyas,
Guy M. Lohman,
Volker Markl:
Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey.
Statistical Analysis and Data Mining 1(4): 223-250 (2009) |
| 2008 |
|---|
| 55 | EE | Ravi Jampani,
Fei Xu,
Mingxi Wu,
Luis Leopoldo Perez,
Christopher M. Jermaine,
Peter J. Haas:
MCDB: a monte carlo approach to managing uncertain data.
SIGMOD Conference 2008: 687-700 |
| 54 | EE | Lin Qiao,
Vijayshankar Raman,
Frederick Reiss,
Peter J. Haas,
Guy M. Lohman:
Main-memory scan sharing for multi-core CPUs.
PVLDB 1(1): 610-621 (2008) |
| 53 | EE | Rainer Gemulla,
Wolfgang Lehner,
Peter J. Haas:
Maintaining bounded-size sample synopses of evolving datasets.
VLDB J. 17(2): 173-202 (2008) |
| 2007 |
|---|
| 52 | EE | Alexander Behm,
Volker Markl,
Peter J. Haas,
Keshava Murthy:
Integrating Query-Feedback Based Statistics into Informix Dynamic Server.
BTW 2007: 582-601 |
| 51 | EE | Rainer Gemulla,
Wolfgang Lehner,
Peter J. Haas:
Maintaining bernoulli samples over evolving multisets.
PODS 2007: 93-102 |
| 50 | EE | Kevin S. Beyer,
Peter J. Haas,
Berthold Reinwald,
Yannis Sismanis,
Rainer Gemulla:
On synopses for distinct-value estimation under multiset operations.
SIGMOD Conference 2007: 199-210 |
| 49 | EE | Peter J. Haas,
Fabian Hueske,
Volker Markl:
Detecting Attribute Dependencies from Query Feedback.
VLDB 2007: 830-841 |
| 48 | EE | Volker Markl,
Peter J. Haas,
Marcel Kutsch,
Nimrod Megiddo,
Utkarsh Srivastava,
Tam Minh Tran:
Consistent selectivity estimation via maximum entropy.
VLDB J. 16(1): 55-76 (2007) |
| 2006 |
|---|
| 47 | EE | Marcel Kutsch,
Peter J. Haas,
Volker Markl,
Nimrod Megiddo,
Tam Minh Tran:
Integrating a Maximum-Entropy Cardinality Estimator into DB2 UDB.
EDBT 2006: 1092-1096 |
| 46 | EE | Utkarsh Srivastava,
Peter J. Haas,
Volker Markl,
Marcel Kutsch,
Tam Minh Tran:
ISOMER: Consistent Histogram Construction Using Query Feedback.
ICDE 2006: 39 |
| 45 | EE | Paul G. Brown,
Peter J. Haas:
Techniques for Warehousing of Sample Data.
ICDE 2006: 6 |
| 44 | EE | Volker Markl,
Marcel Kutsch,
Tam Minh Tran,
Peter J. Haas,
Nimrod Megiddo:
MAXENT: consistent cardinality estimation in action.
SIGMOD Conference 2006: 775-777 |
| 43 | EE | Rainer Gemulla,
Wolfgang Lehner,
Peter J. Haas:
A Dip in the Reservoir: Maintaining Sample Synopses of Evolving Datasets.
VLDB 2006: 595-606 |
| 42 | EE | Yannis Sismanis,
Paul Brown,
Peter J. Haas,
Berthold Reinwald:
GORDIAN: Efficient and Scalable Discovery of Composite Keys.
VLDB 2006: 691-702 |
| 41 | EE | Sam Lightstone,
Guy M. Lohman,
Peter J. Haas,
Volker Markl,
Jun Rao,
Adam J. Storm,
Maheswaran Surendra,
Daniel C. Zilio:
Making DB2Products Self-Managing: Strategies and Experiences.
IEEE Data Eng. Bull. 29(3): 16-23 (2006) |
| 2005 |
|---|
| 40 | EE | Paul Brown,
Peter J. Haas,
Jussi Myllymaki,
Hamid Pirahesh,
Berthold Reinwald,
Yannis Sismanis:
Toward Automated Large-Scale Information Integration and Discovery.
Data Management in a Connected World 2005: 161-180 |
| 39 | EE | Peter J. Haas,
Mokhtar Kandil,
Alberto Lerner,
Volker Markl,
Ivan Popivanov,
Vijayshankar Raman,
Daniel C. Zilio:
Automated statistics collection in action.
SIGMOD Conference 2005: 933-935 |
| 38 | EE | Ning Zhang,
Peter J. Haas,
Vanja Josifovski,
Guy M. Lohman,
Chun Zhang:
Statistical Learning Techniques for Costing XML Queries.
VLDB 2005: 289-300 |
| 37 | EE | Volker Markl,
Nimrod Megiddo,
Marcel Kutsch,
Tam Minh Tran,
Peter J. Haas,
Utkarsh Srivastava:
Consistently Estimating the Selectivity of Conjuncts of Predicates.
VLDB 2005: 373-384 |
| 2004 |
|---|
| 36 | EE | Ihab F. Ilyas,
Volker Markl,
Peter J. Haas,
Paul G. Brown,
Ashraf Aboulnaga:
Automatic Relationship Discovery in Self-Managing Database Systems.
ICAC 2004: 340-341 |
| 35 | EE | Peter J. Haas,
Christian Koenig:
A Bi-Level Bernoulli Scheme for Database Sampling.
SIGMOD Conference 2004: 275-286 |
| 34 | EE | Ihab F. Ilyas,
Volker Markl,
Peter J. Haas,
Paul Brown,
Ashraf Aboulnaga:
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies.
SIGMOD Conference 2004: 647-658 |
| 33 | EE | Ashraf Aboulnaga,
Peter J. Haas,
Sam Lightstone,
Guy M. Lohman,
Volker Markl,
Ivan Popivanov,
Vijayshankar Raman:
Automated Statistics Collection in DB2 UDB.
VLDB 2004: 1146-1157 |
| 32 | EE | Ihab F. Ilyas,
Volker Markl,
Peter J. Haas,
Paul G. Brown,
Ashraf Aboulnaga:
CORDS: Automatic Generation of Correlation Statistics in DB2.
VLDB 2004: 1341-1344 |
| 31 | EE | Peter J. Haas:
Stochastic Petri Nets for Modelling and Simulation.
Winter Simulation Conference 2004: 101-112 |
| 2003 |
|---|
| 30 | EE | Hervé Brönnimann,
Bin Chen,
Manoranjan Dash,
Peter J. Haas,
Peter Scheuermann:
Efficient data reduction with EASE.
KDD 2003: 59-68 |
| 29 | EE | Rakesh Agrawal,
Peter J. Haas,
Jerry Kiernan:
A System for Watermarking Relational Databases.
SIGMOD Conference 2003: 674 |
| 28 | EE | Paul Brown,
Peter J. Haas:
BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data.
VLDB 2003: 668-679 |
| 27 | EE | Rakesh Agrawal,
Peter J. Haas,
Jerry Kiernan:
Watermarking relational data: framework, algorithms and analysis.
VLDB J. 12(2): 157-169 (2003) |
| 2002 |
|---|
| 26 | EE | Bin Chen,
Peter J. Haas,
Peter Scheuermann:
FAST: A New Sampling-Based Algorithm for Discovering Association Rules.
ICDE 2002: 263 |
| 25 | EE | Bin Chen,
Peter J. Haas,
Peter Scheuermann:
A new two-phase sampling based algorithm for discovering association rules.
KDD 2002: 462-468 |
| 24 | EE | Gang Luo,
Curt J. Ellmann,
Peter J. Haas,
Jeffrey F. Naughton:
A scalable hash ripple join algorithm.
SIGMOD Conference 2002: 252-262 |
| 23 | EE | Peter J. Haas,
Peter W. Glynn:
On the validity of long-run estimation methods for discrete-event systems.
SIGMETRICS Performance Evaluation Review 30(3): 35-37 (2002) |
| 2001 |
|---|
| 22 | EE | Peter J. Haas,
Joseph M. Hellerstein:
Online Query Processing.
SIGMOD Conference 2001: 623 |
| 21 | EE | Peter J. Haas:
Estimation of delays in non-regenerative discrete-event stochastic systems.
SIGMETRICS Performance Evaluation Review 28(4): 36-38 (2001) |
| 1999 |
|---|
| 20 | EE | Peter J. Haas,
Joseph M. Hellerstein:
Ripple Joins for Online Aggregation.
SIGMOD Conference 1999: 287-298 |
| 19 | EE | Peter J. Haas:
Techniques for Online Exploration of Large Object-Relational Datasets.
SSDBM 1999: 4-12 |
| 18 | | Joseph M. Hellerstein,
Ron Avnur,
Andy Chou,
Christian Hidber,
Chris Olston,
Vijayshankar Raman,
Tali Roth,
Peter J. Haas:
Interactive data Analysis: The Control Project.
IEEE Computer 32(8): 51-59 (1999) |
| 17 | EE | Peter J. Haas:
Estimation Methods for Nonregenerative Stochastic Petri Nets.
IEEE Trans. Software Eng. 25(2): 218-236 (1999) |
| 1997 |
|---|
| 16 | EE | Joseph M. Hellerstein,
Peter J. Haas,
Helen J. Wang:
Online Aggregation.
SIGMOD Conference 1997: 171-182 |
| 15 | EE | Peter J. Haas:
Large-Sample and Deterministic Confidence Intervals for Online Aggregation.
SSDBM 1997: 51-63 |
| 14 | EE | 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:
The New Jersey Data Reduction Report.
IEEE Data Eng. Bull. 20(4): 3-45 (1997) |
| 1996 |
|---|
| 13 | EE | Viswanath Poosala,
Yannis E. Ioannidis,
Peter J. Haas,
Eugene J. Shekita:
Improved Histograms for Selectivity Estimation of Range Predicates.
SIGMOD Conference 1996: 294-305 |
| 12 | | Peter J. Haas,
Jeffrey F. Naughton,
S. Seshadri,
Arun N. Swami:
Selectivity and Cost Estimation for Joins Based on Random Sampling.
J. Comput. Syst. Sci. 52(3): 550-569 (1996) |
| 1995 |
|---|
| 11 | EE | Peter J. Haas,
Arun N. Swami:
Sampling-Based Selectivity Estimation for Joins Using Augmented Frequent Value Statistics.
ICDE 1995: 522-531 |
| 10 | EE | Peter J. Haas,
Jeffrey F. Naughton,
S. Seshadri,
Lynne Stokes:
Sampling-Based Estimation of the Number of Distinct Values of an Attribute.
VLDB 1995: 311-322 |
| 1994 |
|---|
| 9 | | Peter J. Haas,
Paul Christ:
Networking Issues in PAGEIN: The "N" of "HPCN".
HPCN 1994: 86-93 |
| 8 | EE | Peter J. Haas,
Jeffrey F. Naughton,
Arun N. Swami:
On the Relative Cost of Sampling for Join Selectivity Estimation.
PODS 1994: 14-24 |
| 1993 |
|---|
| 7 | EE | Peter J. Haas,
Jeffrey F. Naughton,
S. Seshadri,
Arun N. Swami:
Fixed-Precision Estimation of Join Selectivity.
PODS 1993: 190-201 |
| 1992 |
|---|
| 6 | EE | Peter J. Haas,
Arun N. Swami:
Sequential Sampling Procedures for Query Size Estimation.
SIGMOD Conference 1992: 341-350 |
| 1989 |
|---|
| 5 | EE | Peter J. Haas,
Gerald S. Shedler:
Stochastic Petri Net Representation of Discrete Event Simulations.
IEEE Trans. Software Eng. 15(4): 381-393 (1989) |
| 1987 |
|---|
| 4 | | Peter J. Haas,
Gerald S. Shedler:
Stochastic Petri Nets with Simultaneous Transition Firings.
PNPM 1987: 24-33 |
| 1986 |
|---|
| 3 | | Peter J. Haas,
Gerald S. Shedler:
Regenerative Stochastic Petri Nets.
Perform. Eval. 6(3): 189-204 (1986) |
| 1985 |
|---|
| 2 | | Peter J. Haas,
Gerald S. Shedler:
Regenerative Simulation of Stochastic Petri Nets.
PNPM 1985: 14-21 |
| 1 | | Peter J. Haas,
Gerald S. Shedler:
Regenerative Simulation Methods for Local Area Computer Networks.
IBM Journal of Research and Development 29(2): 194-205 (1985) |
