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ORCIDJeffrey D. Ullman
Person information
- affiliation: Stanford University, USA
- award (2020): Turing Award
- award (2010): IEEE John von Neumann Medal
- award (2006): SIGMOD Edgar F. Codd Innovations Award
- award (2000): Knuth Prize
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2020 – today
- 2024
[j130]Grisha Weintraub
, Ehud Gudes, Shlomi Dolev, Jeffrey D. Ullman:
Optimizing Cloud Data Lake Queries With a Balanced Coverage Plan. IEEE Trans. Cloud Comput. 12(1): 84-99 (2024)- 2023
- [i18]Daniel Cussen, Jeffrey D. Ullman:
Matrix Multiplication Using Only Addition. CoRR abs/2307.01415 (2023) - 2022
- [j129]Alfred V. Aho, Jeffrey D. Ullman:
Abstractions, their algorithms, and their compilers. Commun. ACM 65(2): 76-91 (2022) - [j128]Jeffrey D. Ullman:
Visits to Research Groups. XRDS 29(2): 10-11 (2022) - [j127]Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman:
Efficient and Privacy Preserving Approximation of Distributed Statistical Queries. IEEE Trans. Big Data 8(5): 1399-1413 (2022) - [c159]Shlomi Dolev, Ehud Gudes, Erez Segev, Jeffrey D. Ullman, Grisha Weintraub:
BFLUT Bloom Filter for Private Look Up Tables. CSCML 2022: 499-505 - 2021
- [c158]Foto N. Afrati, Shlomi Dolev, Shantanu Sharma, Jeffrey D. Ullman:
Meta-X: A Technique for Reducing Communication in Geographically Distributed Computations. CSCML 2021: 467-486 - [c157]Jeffrey D. Ullman:
On the Nature of Data Science. KDD 2021: 4 - 2020
- [j126]Jeffrey D. Ullman:
The Battle for Data Science. IEEE Data Eng. Bull. 43(2): 8-14 (2020) - [j125]Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Dhrubajyoti Ghosh, Peeyush Gupta, Anurag Mishra:
PANDA: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. ACM Trans. Manag. Inf. Syst. 11(4): 23:1-23:41 (2020) - [i17]Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Dhrubajyoti Ghosh, Peeyush Gupta:
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. CoRR abs/2005.06154 (2020)
2010 – 2019
- 2019
- [c156]Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman:
Scaling Cryptographic Techniques by Exploiting Data Sensitivity at a Public Cloud. CODASPY 2019: 165-167 - [c155]Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Anurag Mishra:
Partitioned Data Security on Outsourced Sensitive and Non-Sensitive Data. ICDE 2019: 650-661 - [c154]Rekha Singhal, Yaqi Zhang, Jeffrey D. Ullman, Raghu Prabhakar, Kunle Olukotun:
Efficient Multiway Hash Join on Reconfigurable Hardware. TPCTC 2019: 19-38 - [i16]Kunle Olukotun, Raghu Prabhakar, Rekha Singhal, Jeffrey D. Ullman, Yaqi Zhang:
Efficient Multiway Hash Join on Reconfigurable Hardware. CoRR abs/1905.13376 (2019) - 2018
- [j124]Foto N. Afrati, Nikos Stasinopoulos, Jeffrey D. Ullman, Angelos Vasilakopoulos:
SharesSkew: An algorithm to handle skew for joins in MapReduce. Inf. Syst. 77: 129-150 (2018) - [j123]Foto N. Afrati, Shantanu Sharma, Jonathan R. Ullman, Jeffrey D. Ullman:
Computing marginals using MapReduce. J. Comput. Syst. Sci. 94: 98-117 (2018) - [i15]Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Anurag Mishra:
Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. CoRR abs/1812.09233 (2018) - 2017
- [j122]Foto N. Afrati, Jan Hidders, Christopher Ré, Jacek Sroka, Jeffrey D. Ullman:
Report from the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). SIGMOD Rec. 46(2): 43-48 (2017) - [j121]Foto N. Afrati, Jan Hidders, Paraschos Koutris, Jacek Sroka, Jeffrey D. Ullman:
Report from the Fourth Workshop on Algorithms andSystems for MapReduce and Beyond (BeyondMR '17). SIGMOD Rec. 46(4): 44-48 (2017) - [c153]Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman:
Efficient and private approximations of distributed databases calculations. IEEE BigData 2017: 4487-4496 - [c152]Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman:
Data Science Education: We're Missing the Boat, Again. ICDE 2017: 1473-1474 - [c151]Foto N. Afrati, Manas R. Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman:
GYM: A Multiround Distributed Join Algorithm. ICDT 2017: 4:1-4:18 - 2016
- [j120]Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment Problems of Different-Sized Inputs in MapReduce. ACM Trans. Knowl. Discov. Data 11(2): 18:1-18:35 (2016) - [c150]Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman:
Concise essence-preserving big data representation. IEEE BigData 2016: 3662-3665 - [c149]Andrew Lamb, Jose Hernandez, Jeffrey D. Ullman, Andreas Paepcke:
Portrait of an Indexer - Computing Pointers Into Instructional Videos. EDM 2016: 601-602 - [c148]Maude Bonenfant, Bipin C. Desai, Drew Desai, Benjamin C. M. Fung, M. Tamer Özsu, Jeffrey D. Ullman:
Panel: The State of Data: Invited Paper from panelists. IDEAS 2016: 2-11 - [c147]Foto N. Afrati, Shantanu Sharma, Jeffrey D. Ullman, Jonathan R. Ullman:
Computing Marginals Using MapReduce: Keynote talk paper. IDEAS 2016: 12-23 - [c146]Jeffrey D. Ullman, Jonathan R. Ullman:
Some pairs problems. BeyondMR@SIGMOD 2016: 8 - [c145]Gokul Nath Babu Manoharan, Stephan Ellner, Karl Schnaitter, Sridatta Chegu, Alejandro Estrella-Balderrama, Stephan Gudmundson, Apurv Gupta, Ben Handy, Bart Samwel, Chad Whipkey, Larysa Aharkava, Himani Apte, Nitin Gangahar, Jun Xu, Shivakumar Venkataraman, Divyakant Agrawal, Jeffrey D. Ullman:
Shasta: Interactive Reporting At Scale. SIGMOD Conference 2016: 1393-1404 - [i14]Jeffrey D. Ullman, Jonathan R. Ullman:
Some Pairs Problems. CoRR abs/1602.01443 (2016) - [i13]Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman:
Efficient and Private Approximations of Distributed Databases Calculations. CoRR abs/1605.06143 (2016) - 2015
- [j119]Jeffrey D. Ullman:
Experiments as research validation: have we gone too far? Commun. ACM 58(9): 37-39 (2015) - [j118]Foto N. Afrati, Paraschos Koutris, Dan Suciu, Jeffrey D. Ullman:
Parallel Skyline Queries. Theory Comput. Syst. 57(4): 1008-1037 (2015) - [c144]Jeffrey D. Ullman:
MapReduce Algorithms. CODS Companion Volume 2015: 1:1 - [c143]Foto N. Afrati, Shlomi Dolev, Shantanu Sharma, Jeffrey D. Ullman:
Bounds for Overlapping Interval Join on MapReduce. EDBT/ICDT Workshops 2015: 3-6 - [c142]Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment of Different-Sized Inputs in MapReduce. EDBT/ICDT Workshops 2015: 28-37 - [i12]Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment of Different-Sized Inputs in MapReduce. CoRR abs/1501.06758 (2015) - [i11]Foto N. Afrati, Jeffrey D. Ullman, Angelos Vasilakopoulos:
Handling Skew in Multiway Joins in Parallel Processing. CoRR abs/1504.03247 (2015) - [i10]Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment Problems of Different-Sized Inputs in MapReduce. CoRR abs/1507.04461 (2015) - [i9]Foto N. Afrati, Shlomi Dolev, Shantanu Sharma, Jeffrey D. Ullman:
Meta-MapReduce: A Technique for Reducing Communication in MapReduce Computations. CoRR abs/1508.01171 (2015) - [i8]Foto N. Afrati, Shantanu Sharma, Jeffrey D. Ullman, Jonathan R. Ullman:
Computing Marginals Using MapReduce. CoRR abs/1509.08855 (2015) - [i7]Foto N. Afrati, Nikos Stasinopoulos, Jeffrey D. Ullman, Angelos Vasilakopoulos:
SharesSkew: An Algorithm to Handle Skew for Joins in MapReduce. CoRR abs/1512.03921 (2015) - 2014
- [b28]Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman:
Mining of Massive Datasets, 2nd Ed. Cambridge University Press 2014, ISBN 978-1107077232 - [j117]Foto N. Afrati, Dan Delorey, Mosha Pasumansky, Jeffrey D. Ullman:
Storing and Querying Tree-Structured Records in Dremel. Proc. VLDB Endow. 7(12): 1131-1142 (2014) - [c141]Foto N. Afrati, Anish Das Sarma, Anand Rajaraman, Pokey Rule, Semih Salihoglu, Jeffrey D. Ullman:
Anchor-Points Algorithms for Hamming and Edit Distances Using MapReduce. ICDT 2014: 4-14 - [c140]Foto N. Afrati, Shlomi Dolev, Ephraim Korach, Shantanu Sharma, Jeffrey D. Ullman:
Assignment of Different-Sized Inputs in MapReduce. DISC 2014: 536-537 - [i6]Foto N. Afrati, Manas Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman:
GYM: A Multiround Join Algorithm In MapReduce. CoRR abs/1410.4156 (2014) - 2013
- [j116]Foto N. Afrati, Anish Das Sarma, Semih Salihoglu, Jeffrey D. Ullman:
Upper and Lower Bounds on the Cost of a Map-Reduce Computation. Proc. VLDB Endow. 6(4): 277-288 (2013) - [c139]Foto N. Afrati, Dimitris Fotakis, Jeffrey D. Ullman:
Enumerating subgraph instances using map-reduce. ICDE 2013: 62-73 - [c138]Foto N. Afrati, Jeffrey D. Ullman:
Matching bounds for the all-pairs MapReduce problem. IDEAS 2013: 3-4 - [c137]Alfredo Cuzzocrea, Domenico Saccà, Jeffrey D. Ullman:
Big data: a research agenda. IDEAS 2013: 198-203 - 2012
- [j115]Jeffrey D. Ullman:
Designing good MapReduce algorithms. XRDS 19(1): 30-34 (2012) - [c136]Foto N. Afrati, Magdalena Balazinska, Anish Das Sarma, Bill Howe, Semih Salihoglu, Jeffrey D. Ullman:
Designing good algorithms for MapReduce and beyond. SoCC 2012: 26 - [c135]Foto N. Afrati, Jeffrey D. Ullman:
Transitive closure and recursive Datalog implemented on clusters. EDBT 2012: 132-143 - [c134]Foto N. Afrati, Anish Das Sarma, David Menestrina, Aditya G. Parameswaran, Jeffrey D. Ullman:
Fuzzy Joins Using MapReduce. ICDE 2012: 498-509 - [c133]Foto N. Afrati, Paraschos Koutris, Dan Suciu, Jeffrey D. Ullman:
Parallel skyline queries. ICDT 2012: 274-284 - [i5]Foto N. Afrati, Anish Das Sarma, Semih Salihoglu, Jeffrey D. Ullman:
Vision Paper: Towards an Understanding of the Limits of Map-Reduce Computation. CoRR abs/1204.1754 (2012) - [i4]Foto N. Afrati, Anish Das Sarma, Semih Salihoglu, Jeffrey D. Ullman:
Upper and Lower Bounds on the Cost of a Map-Reduce Computation. CoRR abs/1206.4377 (2012) - [i3]Foto N. Afrati, Dimitris Fotakis, Jeffrey D. Ullman:
Enumerating Subgraph Instances Using Map-Reduce. CoRR abs/1208.0615 (2012) - 2011
- [j114]Foto N. Afrati, Jeffrey D. Ullman:
Optimizing Multiway Joins in a Map-Reduce Environment. IEEE Trans. Knowl. Data Eng. 23(9): 1282-1298 (2011) - [c132]Foto N. Afrati, Vinayak R. Borkar, Michael J. Carey, Neoklis Polyzotis, Jeffrey D. Ullman:
Map-reduce extensions and recursive queries. EDBT 2011: 1-8 - 2010
- [j113]Parag Agrawal, Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom:
Foundations of Uncertain-Data Integration. Proc. VLDB Endow. 3(1): 1080-1090 (2010) - [c131]Aditya G. Parameswaran, Hector Garcia-Molina, Jeffrey D. Ullman:
Evaluating, combining and generalizing recommendations with prerequisites. CIKM 2010: 919-928 - [c130]Foto N. Afrati, Vinayak R. Borkar, Michael J. Carey, Neoklis Polyzotis, Jeffrey D. Ullman:
Cluster Computing, Recursion and Datalog. Datalog 2010: 120-144 - [c129]Foto N. Afrati, Jeffrey D. Ullman:
Optimizing joins in a map-reduce environment. EDBT 2010: 99-110
2000 – 2009
- 2009
- [b27]Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom:
Database systems - the complete book (2. ed.). Pearson Education 2009, ISBN 978-0-13-187325-4, pp. I-XXVI, 1-1203 - [j112]Jeffrey D. Ullman:
Viewpoint - Advising students for success. Commun. ACM 52(3): 34-37 (2009) - [c128]Anish Das Sarma, Jeffrey D. Ullman, Jennifer Widom:
Schema Design for Uncertain Databases. AMW 2009 - 2007
- [b26]John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman:
Introduction to automata theory, languages, and computation, 3rd Edition. Pearson international edition, Addison-Wesley 2007, ISBN 978-0-321-47617-3, pp. I-XVII, 1-535 - [j111]Foto N. Afrati, Chen Li, Jeffrey D. Ullman:
Using views to generate efficient evaluation plans for queries. J. Comput. Syst. Sci. 73(5): 703-724 (2007) - 2005
- [j110]Serge Abiteboul, Rakesh Agrawal, Philip A. Bernstein, Michael J. Carey, Stefano Ceri, W. Bruce Croft, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Dieter Gawlick, Jim Gray, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Martin L. Kersten, Michael J. Pazzani, Michael Lesk, David Maier, Jeffrey F. Naughton, Hans-Jörg Schek, Timos K. Sellis, Avi Silberschatz, Michael Stonebraker, Richard T. Snodgrass, Jeffrey D. Ullman, Gerhard Weikum, Jennifer Widom, Stanley B. Zdonik:
The Lowell database research self-assessment. Commun. ACM 48(5): 111-118 (2005) - [j109]Serge Abiteboul, Richard Hull, Victor Vianu, Sheila A. Greibach, Michael A. Harrison, Ellis Horowitz, Daniel J. Rosenkrantz, Jeffrey D. Ullman, Moshe Y. Vardi:
In memory of Seymour Ginsburg 1928 - 2004. SIGMOD Rec. 34(1): 5-12 (2005) - [c127]Jeffrey D. Ullman:
Gradiance On-Line Accelerated Learning. ACSC 2005: 3-6 - 2003
- [b25]John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman:
Introduction to automata theory, languages, and computation - international edition, 2nd Edition. Addison-Wesley 2003, ISBN 978-0-321-21029-6, pp. I-XIV, 1-521 - [j108]Anand Rajaraman, Jeffrey D. Ullman:
Querying websites using compact skeletons. J. Comput. Syst. Sci. 66(4): 809-851 (2003) - [c126]Jeffrey D. Ullman:
A Survey of New Directions in Database System. DASFAA 2003: 3- - [c125]Jeffrey D. Ullman:
Improving the Efficiency of Database-System Teaching. SIGMOD Conference 2003: 1-3 - [c124]Jim Gray, Hans-Jörg Schek, Michael Stonebraker, Jeffrey D. Ullman:
The Lowell Report. SIGMOD Conference 2003: 680 - [i2]Serge Abiteboul, Rakesh Agrawal, Philip A. Bernstein, Michael J. Carey, Stefano Ceri, W. Bruce Croft, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Dieter Gawlick, Jim Gray, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Martin L. Kersten, Michael J. Pazzani, Michael Lesk, David Maier, Jeffrey F. Naughton, Hans-Jörg Schek, Timos K. Sellis, Avi Silberschatz, Michael Stonebraker, Richard T. Snodgrass, Jeffrey D. Ullman, Gerhard Weikum, Jennifer Widom, Stanley B. Zdonik:
The Lowell Database Research Self Assessment. CoRR cs.DB/0310006 (2003) - 2002
- [b24]John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman:
Einführung in die Automatentheorie, formale Sprachen und Komplexitätstheorie (2. Aufl.). Pearson Studium 2002, ISBN 978-3-8273-7020-4, pp. 1-528 - [b23]Jeffrey D. Ullman, Jennifer Widom:
A first course in database systems (2. ed.). Prentice Hall 2002, ISBN 978-0-13-035300-9, pp. I-XVI, 1-511 - [b22]Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom:
Database systems - the complete book (international edition). Pearson Education 2002, ISBN 978-0-13-098043-4, pp. I-XXVII, 1-1119 - 2001
- [b21]John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman:
Introduction to automata theory, languages, and computation, 2nd Edition. Addison-Wesley series in computer science, Addison-Wesley-Longman 2001, ISBN 978-0-201-44124-6, pp. I-XIV, 1-521 - [j107]John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman:
Introduction to automata theory, languages, and computation, 2nd edition. SIGACT News 32(1): 60-65 (2001) - [j106]Edith Cohen, Mayur Datar, Shinji Fujiwara, Aristides Gionis, Piotr Indyk, Rajeev Motwani, Jeffrey D. Ullman, Cheng Yang:
Finding Interesting Associations without Support Pruning. IEEE Trans. Knowl. Data Eng. 13(1): 64-78 (2001) - [c123]Chen Li, Mayank Bawa, Jeffrey D. Ullman:
Minimizing View Sets without Losing Query-Answering Power. ICDT 2001: 99-113 - [c122]Anand Rajaraman, Jeffrey D. Ullman:
Querying Websites Using Compact Skeletons. PODS 2001 - [c121]Foto N. Afrati, Chen Li, Jeffrey D. Ullman:
Generating Efficient Plans for Queries Using Views. SIGMOD Conference 2001: 319-330 - 2000
- [b20]John E. Hopcroft, Jeffrey D. Ullman:
Introduction to Automata Theory, Languages and Computation, Second Edition. Addison-Wesley 2000 - [b19]Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom:
Database System Implementation. Prentice-Hall 2000, ISBN 0-13-040264-8 - [j105]Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman:
Scalable Techniques for Mining Causal Structures. Data Min. Knowl. Discov. 4(2/3): 163-192 (2000) - [j104]Jeffrey D. Ullman:
Information integration using logical views. Theor. Comput. Sci. 239(2): 189-210 (2000) - [c120]Jeffrey D. Ullman:
A Survey of Association-Rule Mining. Discovery Science 2000: 1-14 - [c119]Edith Cohen, Mayur Datar, Shinji Fujiwara, Aristides Gionis, Piotr Indyk, Rajeev Motwani, Jeffrey D. Ullman, Cheng Yang:
Finding Interesting Associations without Support Pruning. ICDE 2000: 489-500 - [c118]Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani:
Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning. ICDE 2000: 501-511
1990 – 1999
- 1999
- [j103]Alon Y. Levy, Anand Rajaraman, Jeffrey D. Ullman:
Answering Queries Using Limited External Query Processors. J. Comput. Syst. Sci. 58(1): 69-82 (1999) - [c117]Ramana Yerneni, Chen Li, Jeffrey D. Ullman, Hector Garcia-Molina:
Optimizing Large Join Queries in Mediation Systems. ICDT 1999: 348-364 - [c116]Jeffrey D. Ullman:
The MIDAS Data-Mining Project at Stanford. IDEAS 1999: 460-464 - [c115]Jeffrey D. Ullman:
Some Advances in Data-Mining Techniques (Abstract). NGITS 1999: 1 - [c114]Ramana Yerneni, Chen Li, Hector Garcia-Molina, Jeffrey D. Ullman:
Computing Capabilities of Mediators. SIGMOD Conference 1999: 443-454 - 1998
- [b18]Jeffrey D. Ullman:
Elements of ML programming - ML 97 edition. Prentice Hall 1998, ISBN 978-0-13-790387-0, pp. I-XIII, 1-383 - [j102]Richard T. Snodgrass, Hector Garcia-Molina, Tomasz Imielinski, David Maier, Patricia G. Selinger, Jeffrey D. Ullman:
Reminiscences on Influential Papers. SIGMOD Rec. 27(3): 33-35 (1998) - [j101]Philip A. Bernstein, Michael L. Brodie, Stefano Ceri, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Jim Gray, Gerald Held, Joseph M. Hellerstein, H. V. Jagadish, Michael Lesk, David Maier, Jeffrey F. Naughton, Hamid Pirahesh, Michael Stonebraker, Jeffrey D. Ullman:
The Asilomar Report on Database Research. SIGMOD Rec. 27(4): 74-80 (1998) - [c113]Shalom Tsur, Jeffrey D. Ullman, Serge Abiteboul, Chris Clifton, Rajeev Motwani, Svetlozar Nestorov, Arnon Rosenthal:
Query Flocks: A Generalization of Association-Rule Mining. SIGMOD Conference 1998: 1-12 - [c112]Chen Li, Ramana Yerneni, Vasilis Vassalos, Hector Garcia-Molina, Yannis Papakonstantinou, Jeffrey D. Ullman, Murty Valiveti:
Capability Based Mediation in TSIMMIS. SIGMOD Conference 1998: 564-566 - [c111]Min Fang, Narayanan Shivakumar, Hector Garcia-Molina, Rajeev Motwani, Jeffrey D. Ullman:
Computing Iceberg Queries Efficiently. VLDB 1998: 299-310 - [c110]Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman:
Scalable Techniques for Mining Causal Structures. VLDB 1998: 594-605 - [i1]Philip A. Bernstein, Michael L. Brodie, Stefano Ceri, David J. DeWitt, Michael J. Franklin, Hector Garcia-Molina, Jim Gray, Gerald Held, Joseph M. Hellerstein, H. V. Jagadish, Michael Lesk, David Maier, Jeffrey F. Naughton, Hamid Pirahesh, Michael Stonebraker, Jeffrey D. Ullman:
The Asilomar Report on Database Research. CoRR cs.DB/9811013 (1998) - 1997
- [b17]Jeffrey D. Ullman, Jennifer Widom:
A First Course in Database Systems. Prentice-Hall 1997, ISBN 0-13-861337-0 - [j100]Hector Garcia-Molina, Yannis Papakonstantinou, Dallan Quass, Anand Rajaraman, Yehoshua Sagiv, Jeffrey D. Ullman, Vasilis Vassalos, Jennifer Widom:
The TSIMMIS Approach to Mediation: Data Models and Languages. J. Intell. Inf. Syst. 8(2): 117-132 (1997) - [j99]Dallan Quass, Anand Rajaraman, Jeffrey D. Ullman, Jennifer Widom, Yehoshua Sagiv:
Querying Semistructured Heterogeneous Information. J. Syst. Integr. 7(3/4): 381-407 (1997) - [j98]Peter Buneman, Louiqa Raschid, Jeffrey D. Ullman:
Mediator Languages - a Proposal for a Standard. SIGMOD Rec. 26(1): 39-44 (1997) - [c109]Svetlozar Nestorov, Jeffrey D. Ullman, Janet L. Wiener, Sudarshan S. Chawathe:
Representative Objects: Concise Representations of Semistructured, Hierarchial Data. ICDE 1997: 79-90 - [c108]Himanshu Gupta, Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ullman:
Index Selection for OLAP. ICDE 1997: 208-219 - [c107]Jeffrey D. Ullman:
Information Integration Using Logical Views. ICDT 1997: 19-40 - [c106]Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur:
Dynamic Itemset Counting and Implication Rules for Market Basket Data. SIGMOD Conference 1997: 255-264 - 1996
- [b16]Alfred V. Aho, Jeffrey D. Ullman:
Informatik - Datenstrukturen und Konzepte der Abstraktion. Informatik Lehrbuchreihe, International Thomson 1996, ISBN 978-3-8266-0242-9, pp. 1-1042 - [j97]Jeffrey D. Ullman:
Moving Database Theory into Database Practice. ACM Comput. Surv. 28(4es): 90 (1996) - [j96]