Travelled to:
1 × Austria
1 × China
1 × Egypt
1 × Greece
1 × India
1 × Ireland
1 × Korea
1 × Norway
1 × Sweden
1 × The Netherlands
1 × United Kingdom
2 × Australia
2 × France
34 × USA
5 × Canada
Collaborated with:
S.Sudarshan ∅ D.Srivastava M.Livny J.F.Naughton P.Seshadri C.Beeri A.Silberschatz V.Ganti J.Gehrke A.Doan J.Goldstein K.LeFevre D.J.DeWitt Y.E.Ioannidis F.Bancilhon B.Chen H.Guo S.Vaithyanathan H.Pirahesh R.Sears B.F.Cooper A.Silberstein P.Larson I.S.Mumick L.Chen K.S.Beyer D.Donjerkovic Y.Sagiv J.D.Ullman T.Zhang R.Krishnamurthy W.Shen D.Burdick U.Srivastava R.Kaushik W.Loh O.Shmueli G.I.Webb H.C.Bravo V.Ercegovac S.Dar S.J.Finkelstein M.J.Maher P.Tamma F.Chen P.DeRose T.S.Jayram P.Deshpande T.Condie E.Vee V.T.Chakaravarthy Z.Huang M.Lee J.Albert R.J.Miller M.Kifer T.Kraska R.Agrawal H.Garcia-Molina R.Yerneni J.Chen J.Terrace J.W.Shavlik Y.Lin R.Krishnamurthy U.Shaft J.Yu G.Chen S.Lawande J.Myllymaki R.K.Wenger K.A.Ross M.Y.Vardi P.C.Kanellakis P.Bohannon J.M.Hellerstein M.Weimer B.Chun C.Curino C.Douglas S.Rao P.Agrawal B.J.Gao J.Yang R.McCann P.A.Bernstein A.Fekete P.Barford V.Yegneswaran P.M.Deshpande W.G.Roth S.A.Naqvi S.Tsur B.Howe M.J.Franklin J.Freire J.Frew D.Abadi M.J.Carey S.Chaudhuri J.M.Patel L.Guo S.Amer-Yahia J.Shanmugasundaram Y.Xu C.Ré D.Agrawal M.Balazinska M.I.Cafarella M.I.Jordan M.Mutsuzaki P.Quaid S.Agarwal A.Gupta S.Sarawagi S.Kadambi D.Lomax E.Tam N.N.Dalvi R.Kumar B.Pang A.Tomkins S.Keerthi S.Merugu T.Y.C.Leung P.J.Stuckey H.Jacobsen N.Puz D.Weaver B.T.Loo M.N.Garofalakis D.E.Gay P.Maniatis T.Roscoe I.Stoica Y.Chen Y.Lee T.Majestro D.Malkhi S.Matusevych B.Myers S.Narayanamurthy B.Sezgin J.Wang
Talks about:
databas (15) queri (15) data (12) logic (11) program (9) optim (9) effici (8) evalu (8) bottom (6) magic (6)
Person: Raghu Ramakrishnan
DBLP: Ramakrishnan:Raghu
Facilitated 1 volumes:
Contributed to:
Wrote 101 papers:
- SIGMOD-2015-ReABCJKR #database #machine learning #question
- Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? (CR, DA, MB, MIC, MIJ, TK, RR), pp. 283–284.
- SIGMOD-2015-WeimerCCCCDLMMM #execution #framework #named
- REEF: Retainable Evaluator Execution Framework (MW, YC, BGC, TC, CC, CD, YL, TM, DM, SM, BM, SN, RR, SR, RS, BS, JW), pp. 1343–1355.
- KDD-2014-RamakrishnanW #privacy #question #social
- Does social good justify risking personal privacy? (RR, GIW), p. 1965.
- SIGMOD-2014-HoweFFFKR #database #education #question
- Should we all be teaching “intro to data science” instead of “intro to databases”? (BH, MJF, JF, JF, TK, RR), pp. 917–918.
- KDD-2013-Ramakrishnan
- Scale-out beyond map-reduce (RR), p. 1.
- VLDB-2013-ChunCCRSW #execution #framework #named
- REEF: Retainable Evaluator Execution Framework (BGC, TC, CC, RR, RS, MW), pp. 1370–1373.
- SIGMOD-2012-ChenDMQRRS #named
- Walnut: a unified cloud object store (JC, CD, MM, PQ, RR, SR, RS), pp. 743–754.
- SIGMOD-2012-SearsR #named
- bLSM: a general purpose log structured merge tree (RS, RR), pp. 217–228.
- VLDB-2011-KadambiCCLRSTG #question
- Where in the World is My Data? (SK, JC, BFC, DL, RR, AS, ET, HGM), pp. 1040–1050.
- SIGMOD-2010-SilbersteinTCR
- Feeding frenzy: selectively materializing users’ event feeds (AS, JT, BFC, RR), pp. 831–842.
- VLDB-2010-AbadiCCGPR #database #question #what
- Cloud Databases: What’s New? (DA, MJC, SC, HGM, JMP, RR), p. 1657.
- PODS-2009-DalviKPRTBKM #concept #web
- A web of concepts (NND, RK, BP, RR, AT, PB, SK, SM), pp. 1–12.
- SIGMOD-2009-AgrawalSCSR #database #maintenance
- Asynchronous view maintenance for VLSD databases (PA, AS, BFC, US, RR), pp. 179–192.
- SIGMOD-2009-ChenGDYR #evolution #optimisation #source code
- Optimizing complex extraction programs over evolving text data (FC, BJG, AD, JY, RR), pp. 321–334.
- SIGMOD-2008-ShenDMDR #information management #towards
- Toward best-effort information extraction (WS, PD, RM, AD, RR), pp. 1031–1042.
- SIGMOD-2008-SilbersteinCSVYR #distributed #order #performance
- Efficient bulk insertion into a distributed ordered table (AS, BFC, US, EV, RY, RR), pp. 765–778.
- VLDB-2008-CooperRSSBJPWY #exclamation #framework #named #platform
- PNUTS: Yahoo!’s hosted data serving platform (BFC, RR, US, AS, PB, HAJ, NP, DW, RY), pp. 1277–1288.
- VLDB-2008-GuoARSSV #performance
- Efficient top-k processing over query-dependent functions (LG, SAY, RR, JS, US, EV), pp. 1044–1055.
- SIGMOD-2007-BravoR #optimisation #probability #query
- Optimizing mpf queries: decision support and probabilistic inference (HCB, RR), pp. 701–712.
- SIGMOD-2007-Ramakrishnan #database #web
- Databases on the web (RR), p. 874.
- VLDB-2007-BurdickDRV #constraints
- OLAP over Imprecise Data with Domain Constraints (DB, AD, RR, SV), pp. 39–50.
- VLDB-2007-ChenRL #multi #privacy
- Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge (BCC, RR, KL), pp. 770–781.
- VLDB-2007-DeRoseSCDR #approach #community #composition #incremental #top-down #web
- Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach (PD, WS, FC, AD, RR), pp. 399–410.
- VLDB-2007-ShenDNR #datalog #declarative #embedded #information management #using
- Declarative Information Extraction Using Datalog with Embedded Extraction Predicates (WS, AD, JFN, RR), pp. 1033–1044.
- KDD-2006-LeFevreDR
- Workload-aware anonymization (KL, DJD, RR), pp. 277–286.
- SIGMOD-2006-BernsteinFGRT #replication
- Relaxed-currency serializability for middle-tier caching and replication (PAB, AF, HG, RR, PT), pp. 599–610.
- SIGMOD-2006-DoanRV #information management #research #state of the art
- Managing information extraction: state of the art and research directions (AD, RR, SV), pp. 799–800.
- SIGMOD-2006-LooCGGHMRRS #declarative #execution #network #optimisation
- Declarative networking: language, execution and optimization (BTL, TC, MNG, DEG, JMH, PM, RR, TR, IS), pp. 97–108.
- VLDB-2006-0003RBCY #metric #set
- Composite Subset Measures (LC, RR, PB, BCC, VY), pp. 403–414.
- VLDB-2006-BurdickDJRV #algorithm #performance
- Efficient Allocation Algorithms for OLAP Over Imprecise Data (DB, PMD, TSJ, RR, SV), pp. 391–402.
- VLDB-2006-ChenRST #analysis #predict
- Bellwether Analysis: Predicting Global Aggregates from Local Regions (BCC, RR, JWS, PT), pp. 655–666.
- SIGMOD-2005-LeFevreDR #named #performance
- Incognito: Efficient Full-Domain K-Anonymity (KL, DJD, RR), pp. 49–60.
- VLDB-2005-BurdickDJRV #nondeterminism
- OLAP Over Uncertain and Imprecise Data (DB, PD, TSJ, RR, SV), pp. 970–981.
- VLDB-2005-ChenCLR #predict
- Prediction Cubes (BCC, LC, YL, RR), pp. 982–993.
- VLDB-2005-ErcegovacDR #benchmark #metric #performance #query #relational
- The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS (VE, DJD, RR), pp. 313–324.
- VLDB-2005-GuoLR #consistency
- Caching with “Good Enough” Currency, Consistency, and Completeness (HG, PÅL, RR), pp. 457–468.
- CIKM-2004-Ramakrishnan #mining
- The EDAM project: mining mass spectra and more (RR), p. 1.
- PODS-2004-KaushikRC #optimisation #perspective #query
- Synopses for Query Optimization: A Space-Complexity Perspective (RK, RR, VTC), pp. 201–209.
- SIGMOD-2004-ChenHR #cost analysis
- Cost-Based Labeling of Groups of Mass Spectra (LC, ZH, RR), pp. 167–178.
- SIGMOD-2004-GuoLRG #consistency #how #sql
- Relaxed Currency and Consistency: How to Say “Good Enough” in SQL (HG, PÅL, RR, JG), pp. 815–826.
- SIGMOD-2004-GuoRLG #consistency #constraints
- Support for Relaxed Currency and Consistency Constraints in MTCache (HG, PÅL, RR, JG), pp. 937–938.
- SIGMOD-2004-KaushikKNR #integration #on the
- On the Integration of Structure Indexes and Inverted Lists (RK, RK, JFN, RR), pp. 779–790.
- VLDB-2004-LeFevreAERXD #database
- Limiting Disclosure in Hippocratic Databases (KL, RA, VE, RR, YX, DJD), pp. 108–119.
- KDD-2001-Ramakrishnan #collaboration #data mining #mining
- Mass collaboration and data mining (RR), p. 4.
- SIGMOD-2000-Ramakrishnan
- From Browsing to Interacting: DBMS Support for Responive Websites (RR), p. 573.
- VLDB-2000-GantiLR #approximate #named #query #self
- ICICLES: Self-Tuning Samples for Approximate Query Answering (VG, MLL, RR), pp. 176–187.
- VLDB-2000-GoldsteinR #nearest neighbour
- Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbour Searches (JG, RR), pp. 429–440.
- KDD-1999-GantiGR #category theory #clustering #named #summary #using
- CACTUS — Clustering Categorical Data Using Summaries (VG, JG, RR), pp. 73–83.
- KDD-1999-ZhangRL #database #estimation #kernel #performance #scalability #using
- Fast Density Estimation Using CF-Kernel for Very Large Databases (TZ, RR, ML), pp. 312–316.
- KDD-T-1999-GehrkeLR #classification
- Classification and Regression: Money *can* Grow on Trees (JG, WYL, RR), pp. 1–73.
- PODS-1999-GantiGR #framework
- A Framework for Measuring Changes in Data Characteristics (VG, JG, RR), pp. 126–137.
- SIGMOD-1999-BeyerR #bottom-up
- Bottom-Up Computation of Sparse and Iceberg CUBEs (KSB, RR), pp. 359–370.
- SIGMOD-1999-GehrkeGRL
- BOAT-Optimistic Decision Tree Construction (JG, VG, RR, WYL), pp. 169–180.
- VLDB-1999-DonjerkovicR #optimisation #probability #query
- Probabilistic Optimization of Top N Queries (DD, RR), pp. 411–422.
- VLDB-1998-GehrkeRG #dataset #framework #named #performance #scalability
- RainForest — A Framework for Fast Decision Tree Construction of Large Datasets (JG, RR, VG), pp. 416–427.
- PODS-1997-AlbertIR #equivalence #query #relational
- Conjunctive Query Equivalence of Keyed Relational Schemas (JA, YEI, RR), pp. 44–50.
- PODS-1997-GoldsteinRSY #constraints #linear #query
- Processing Queries By Linear Constraints (JG, RR, US, JBY), pp. 257–267.
- SIGMOD-1997-LivnyRBCDLMW #dataset #named #query #scalability #visualisation
- DEVise: Integrated Querying and Visualization of Large Datasets (ML, RR, KSB, GC, DD, SL, JM, RKW), pp. 301–312.
- SIGMOD-1997-LivnyRBCDLMW97a #dataset #named #query #scalability #visual notation
- DEVise: Integrated Querying and Visual Exploration of Large Datasets (ML, RR, KSB, GC, DD, SL, JM, RKW), pp. 517–520.
- VLDB-1997-SeshadriLR #data type
- The Case for Enhanced Abstract Data Types (PS, ML, RR), pp. 66–75.
- SIGMOD-1996-SeshadriHPLRSSS #algebra #cost analysis #implementation #optimisation
- Cost-Based Optimization for Magic: Algebra and Implementation (PS, JMH, HP, TYCL, RR, DS, PJS, SS), pp. 435–446.
- SIGMOD-1996-ZhangRL #clustering #database #named #performance #scalability
- BIRCH: An Efficient Data Clustering Method for Very Large Databases (TZ, RR, ML), pp. 103–114.
- VLDB-1996-AgarwalADGNRS #multi #on the
- On the Computation of Multidimensional Aggregates (SA, RA, PD, AG, JFN, RR, SS), pp. 506–521.
- VLDB-1996-SeshadriLR #database #design #implementation #sequence
- The Design and Implementation of a Sequence Database System (PS, ML, RR), pp. 99–110.
- ILPS-1994-RamakrishnanRSS #evaluation #incremental #performance #query
- Efficient Incremental Evaluation of Queries with Aggregation (RR, KAR, DS, SS), pp. 204–218.
- SIGMOD-1994-DarR #algorithm #performance #transitive
- A Performance Study of Transitive Closure Algorithms (SD, RR), pp. 454–465.
- SIGMOD-1994-SeshadriLR #query #sequence
- Sequence Query Processing (PS, ML, RR), pp. 430–441.
- ILPS-1993-SudarshanR #bottom-up #evaluation #optimisation
- Optimizations of Bottom-Up Evaluation with Non-Ground Terms (SS, RR), pp. 557–574.
- ILPS-1993-SudarshanSRB #semantics
- Extending the Well-Founded and Valid Semantics for Aggregation (SS, DS, RR, CB), pp. 590–608.
- SIGMOD-1993-RamakrishnanRSSS #database #deduction
- The CORAL Deductive Database System (RR, WGR, PS, DS, SS), pp. 544–545.
- SIGMOD-1993-RamakrishnanSSS #database #deduction #implementation
- Implementation of the CORAL Deductive Database System (RR, DS, SS, PS), pp. 167–176.
- VLDB-1993-MillerIR #capacity #integration
- The Use of Information Capacity in Schema Integration and Translation (RJM, YEI, RR), pp. 120–133.
- VLDB-1993-SrivastavaRSS #database #logic #object-oriented
- Coral++: Adding Object-Orientation to a Logic Database Language (DS, RR, PS, SS), pp. 158–170.
- JICSLP-1992-RamakrishnanSS #bottom-up #evaluation
- Controlling the Search in Bottom-Up Evaluation (RR, DS, SS), pp. 273–287.
- PODS-1992-BeeriRSS #logic programming #semantics #source code
- The Valid Model Semantics for Logic Programs (CB, RR, DS, SS), pp. 91–104.
- PODS-1992-SrivastavaR #constraints
- Pushing Constraint Selections (DS, RR), pp. 301–315.
- VLDB-1992-RamakrishnanSS #logic #named
- CORAL — Control, Relations and Logic (RR, DS, SS), pp. 238–250.
- ISLP-1991-RamakrishnanS #bottom-up #revisited #top-down
- Top-Down versus Bottom-Up Revisited (RR, SS), pp. 321–336.
- SIGMOD-1991-SudarshanSRN #bottom-up #evaluation #logic programming #optimisation #source code
- Space Optimization in the Bottom-Up Evaluation of Logic Programs (SS, DS, RR, JFN), pp. 68–77.
- PODS-1990-MumickFPR
- Magic Conditions (ISM, SJF, HP, RR), pp. 314–330.
- POPL-1990-Ramakrishnan #logic programming #parallel #source code
- Parallelism in Logic Programs (RR), pp. 246–260.
- SIGMOD-1990-MumickFPR
- Magic is Relevant (ISM, SJF, HP, RR), pp. 247–258.
- VLDB-1990-MumickPR
- The Magic of Duplicates and Aggregates (ISM, HP, RR), pp. 264–277.
- VLDB-1990-NaughtonR #how
- How to Forget the Past Without Repeating It (JFN, RR), pp. 278–289.
- VLDB-1990-RamakrishnanSS #bottom-up #evaluation #fixpoint #logic programming #source code
- Rule Ordering in Bottom-Up Fixpoint Evaluation of Logic Programs (RR, DS, SS), pp. 359–371.
- NACLP-1989-MaherR #fixpoint #logic programming #source code
- Déjà Vu in Fixpoints of Logic Programs (MJM, RR), pp. 963–980.
- PODS-1989-RamakrishnanSUV #program transformation #theorem
- Proof-Tree Transformation Theorems and Their Applications (RR, YS, JDU, MYV), pp. 172–181.
- SIGMOD-1989-NaughtonRSU #evaluation #performance
- Efficient Evaluation of Right-, Left-, and Mult-Lineare Rules (JFN, RR, YS, JDU), pp. 235–242.
- VLDB-1989-NaughtonRSU #reduction
- Argument Reduction by Factoring (JFN, RR, YS, JDU), pp. 173–182.
- JICSCP-1988-Ramakrishnan88 #approach #logic programming #source code
- Magic Templates: A Spellbinding Approach to Logic Programs (RR), pp. 140–159.
- PODS-1988-KiferRS #approach #axiom #database #deduction #query #safety
- An Axiomatic Approach to Deciding Query Safety in Deductive Databases (MK, RR, AS), pp. 52–60.
- PODS-1988-RamakrishnanBK #datalog #optimisation #query
- Optimizing Existential Datalog Queries (RR, CB, RK), pp. 89–102.
- SIGMOD-1988-KrishnamurthyRS #datalog #effectiveness #framework #safety #testing
- A Framework for Testing Safety and Effective Computability of Extended Datalog (RK, RR, OS), pp. 154–163.
- VLDB-1988-IoannidisR #algorithm #performance #transitive
- Efficient Transitive Closure Algorithms (YEI, RR), pp. 382–394.
- PODS-1987-BeeriKBR #bound #logic programming #source code
- Bounds on the Propagation of Selection into Logic Programs (CB, PCK, FB, RR), pp. 214–226.
- PODS-1987-BeeriNRST #database #logic #set
- Sets and Negation in a Logic Database Language (LDL1) (CB, SAN, RR, OS, ST), pp. 21–37.
- PODS-1987-BeeriR #on the #power of
- On the Power of Magic (CB, RR), pp. 269–284.
- PODS-1987-RamakrishnanBS #horn clause #infinity #recursion #safety
- Safety of Recursive Horn Clauses With Infinite Relations (RR, FB, AS), pp. 328–339.
- POPL-1986-RamakrishnanS #distributed #logic #programming
- Annotations for Distributed Programming in Logic (RR, AS), pp. 255–262.
- SIGMOD-1986-BancilhonR #query #recursion
- An Amateur’s Introduction to Recursive Query Processing Strategies (FB, RR), pp. 16–52.
- VLDB-1985-RamakrishnanS #concept #database #design #diagrams
- The MR Diagram — A Model for Conceptual Database Design (RR, AS), pp. 376–393.