BibSLEIGH — Johannes

Travelled to:

1 × France
1 × Greece
1 × Korea
1 × United Kingdom
2 × Australia
21 × USA
3 × Canada
5 × China

Collaborated with:

A.J.Demers W.M.White M.Riedewald R.Ramakrishnan C.Koch G.Bender L.Kot Y.Lou D.Kifer A.Dobra V.Ganti A.Machanavajjhala N.Gupta M.N.Garofalakis W.Loh J.Shanmugasundaram M.A.V.Salles M.Götz B.Sowell T.Cao R.Caruana A.Das S.Ben-David G.Wang A.Crainiceanu P.Linga S.Roy X.Xiao A.V.Evfimievski R.Srikant R.Rastogi B.Panda T.A.Bjørklund N.Grimsmo ∅ C.Bucila R.Agrawal W.Xie D.Bindel F.Yang S.Nath J.Zhai R.Schuller F.C.Chu J.Y.Halpern W.F.Fung D.Sun B.Sowell M.Hong K.Zoumpatianos T.Palpanas G.Hooker K.Raman A.Swaminathan T.Joachims M.Hay Ø.Torbjørnsen J.Ayres J.Flannick T.Yiu D.Gunopulos P.Raghavan Pulkit A. Misra J.S.Chase A.R.Lebeck T.Zou R.L.Bras K.Mamouras S.Oren L.Seeman F.Weigel M.Calimlim R.Rajagopalan S.B.Pope L.P.Chew P.Koch M.Sturm N.Elhadad C.Li D.Porto A.Clement N.M.Preguiça R.Rodrigues N.Gerner Y.Yue M.Nikolic M.J.Carey D.J.DeWitt J.F.Naughton M.Asgarian P.Brown D.Shah B.Ding H.Hojjat N.Foster X.Wang R.Albright H.Lee R.Keilty G.Sadowski L.Brenna J.Ossher M.Thatte N.Jain S.Mishra A.Srinivasan J.Widom H.Balakrishnan U.Çetintemel M.Cherniack R.Tibbetts S.B.Zdonik

Talks about:

data (22) queri (8) stream (7) index (7) privaci (6) applic (6) tree (6) mine (6) process (5) system (5)

Person: Johannes Gehrke

DBLP: Gehrke:Johannes

Facilitated 2 volumes:

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

1999

1998

1997

2017

Wrote 71 papers:

KDD-2015-CaruanaLGKSE #modelling #predict: Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (RC, YL, JG, PK, MS, NE), pp. 1721–1730.
KDD-2015-XieBDG #performance #personalisation #rank: Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier (WX, DB, AJD, JG), pp. 1325–1334.
KDD-2015-ZoumpatianosLPG #query: Query Workloads for Data Series Indexes (KZ, YL, TP, JG), pp. 1603–1612.
SIGMOD-2015-0002KBDHKFG #coordination #program analysis #protocol #transaction: The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis (SR, LK, GB, BD, HH, CK, NF, JG), pp. 1311–1326.
SIGMOD-2014-BenderKG #database #relational #security: Explainable security for relational databases (GB, LK, JG), pp. 1411–1422.
KDD-2013-LouCGH #interactive #modelling: Accurate intelligible models with pairwise interactions (YL, RC, JG, GH), pp. 623–631.
KDD-2013-RamanSGJ #big data #pipes and filters: Beyond myopic inference in big data pipelines (KR, AS, JG, TJ), pp. 86–94.
SIGMOD-2013-BenderKGK #ecosystem #fine-grained: Fine-grained disclosure control for app ecosystems (GB, LK, JG, CK), pp. 869–880.
VLDB-2013-SowellSCDG #analysis #in memory #memory management: An Experimental Analysis of Iterated Spatial Joins in Main Memory (BS, MAVS, TC, AJD, JG), pp. 1882–1893.
VLDB-2013-XieWBDG #graph #performance: Fast Iterative Graph Computation with Block Updates (WX, GW, DB, AJD, JG), pp. 2014–2025.
VLDB-2013-ZouBSDG12 #deployment #named: ClouDiA: A Deployment Advisor for Public Clouds (TZ, RLB, MAVS, AJD, JG), pp. 109–120.
KDD-2012-LouCG #classification #modelling: Intelligible models for classification and regression (YL, RC, JG), pp. 150–158.
OSDI-2012-LiPCGPR #consistency #performance: Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary (CL, DP, AC, JG, NMP, RR), pp. 265–278.
SIGMOD-2012-GotzNG #mobile #named #personalisation: MaskIt: privately releasing user context streams for personalized mobile applications (MG, SN, JG), pp. 289–300.
VLDB-2012-MamourasOSKG #complexity #coordination #social: The Complexity of Social Coordination (KM, SO, LS, LK, JG), pp. 1172–1183.
CIKM-2011-BjorklundGGG #keyword #network #social: Workload-aware indexing for keyword search in social networks (TAB, MG, JG, NG), pp. 535–544.
SIGMOD-2011-CaoSSDG #in memory #in the cloud #library #named: BRRL: a recovery library for main-memory applications in the cloud (TC, BS, MAVS, AJD, JG), pp. 1233–1236.
SIGMOD-2011-CaoSSYDGW #algorithm #consistency #performance: Fast checkpoint recovery algorithms for frequently consistent applications (TC, MAVS, BS, YY, AJD, JG, WMW), pp. 265–276.
SIGMOD-2011-GuptaKBRGK #coordination #query: Coordination through querying in the youtopia system (NG, LK, GB, SR, JG, CK), pp. 1331–1334.
SIGMOD-2011-GuptaKRBGK #coordination #data-driven #declarative #query: Entangled queries: enabling declarative data-driven coordination (NG, LK, SR, GB, JG, CK), pp. 673–684.
SIGMOD-2011-XiaoBHG #difference #fault #named #privacy: iReduct: differential privacy with reduced relative errors (XX, GB, MH, JG), pp. 229–240.
SIGMOD-2011-ZhaiLG #algorithm #named #probability #similarity: ATLAS: a probabilistic algorithm for high dimensional similarity search (JZ, YL, JG), pp. 997–1008.
VLDB-2011-GuptaNRBKGK #transaction: Entangled Transactions (NG, MN, SR, GB, LK, JG, CK), pp. 887–898.
VLDB-2010-WangSSWCDGW #behaviour #pipes and filters #simulation: Behavioral Simulations in MapReduce (GW, MAVS, BS, XW, TC, AJD, JG, WMW), pp. 952–963.
CIKM-2009-BjorklundGGT: Inverted indexes vs. bitmap indexes in decision support systems (TAB, NG, JG, ØT), pp. 1509–1512.
SIGMOD-2009-DemersGKSW #database #game studies #research: Database research in computer games (AJD, JG, CK, BS, WMW), pp. 1011–1014.
SIGMOD-2009-XiaoWG #interactive: Interactive anonymization of sensitive data (XX, GW, JG), pp. 1051–1054.
VLDB-2009-MachanavajjhalaGG: Data Publishing against Realistic Adversaries (AM, JG, MG), pp. 790–801.
VLDB-2009-SallesCSDGKW #evaluation #game studies #multi #online: An Evaluation of Checkpoint Recovery for Massively Multiplayer Online Games (MAVS, TC, BS, AJD, JG, CK, WMW), pp. 1258–1269.
SIGMOD-2008-AlbrightDGGLKSSW #data-driven #game studies #named #scalability: SGL: a scalable language for data-driven games (RA, AJD, JG, NG, HL, RK, GS, BS, WMW), pp. 1217–1222.
SIGMOD-2008-GuptaDG #game studies #multi #named #online #scalability: SEMMO: a scalable engine for massively multiplayer online games (NG, AJD, JG), pp. 1235–1238.
VLDB-2008-JainMSGWBCCTZ #sql #standard #streaming #towards: Towards a streaming SQL standard (NJ, SM, AS, JG, JW, HB, UÇ, MC, RT, SBZ), pp. 1379–1390.
VLDB-2008-WeigelPRGC #analysis #collaboration #scalability #web: Large-scale collaborative analysis and extraction of web data (FW, BP, MR, JG, MC), pp. 1476–1479.
PODS-2007-WhiteRGD #question #what: What is “next” in event processing? (WMW, MR, JG, AJD), pp. 263–272.
SIGMOD-2007-BrennaDGHOPRTW #named: Cayuga: a high-performance event processing engine (LB, AJD, JG, MH, JO, BP, MR, MT, WMW), pp. 1100–1102.
SIGMOD-2007-CrainiceanuLMGS #named #performance #robust: P-ring: an efficient and robust P2P range index structure (AC, PL, AM, JG, JS), pp. 223–234.
SIGMOD-2007-GuptaYDGS #data-driven #personalisation #web: User-centric personalized extensibility for data-driven web applications (NG, FY, AJD, JG, JS), pp. 1125–1127.
SIGMOD-2007-HongDGKRW #multi: Massively multi-query join processing in publish/subscribe systems (MH, AJD, JG, CK, MR, WMW), pp. 761–772.
SIGMOD-2007-WhiteDKGR #game studies #scalability: Scaling games to epic proportion (WMW, AJD, CK, JG, RR), pp. 31–42.
PODS-2006-MachanavajjhalaG #on the #performance #privacy: On the efficiency of checking perfect privacy (AM, JG), pp. 163–172.
SIGMOD-2006-GernerYDGRS #automation #clustering #data-driven #web: Automatic client-server partitioning of data-driven web applications (NG, FY, AJD, JG, MR, JS), pp. 760–762.
SIGMOD-2006-KiferG #dataset #injection: Injecting utility into anonymized datasets (DK, JG), pp. 217–228.
VLDB-2006-PandaRPGC #approximate: Indexing for Function Approximation (BP, MR, SBP, JG, LPC), pp. 523–534.
PODS-2005-Gehrke #analysis #modelling #privacy #tutorial: Models and methods for privacy-preserving data publishing and analysis: invited tutorial (JG), p. 316.
SIGMOD-2005-LingaCGS #correctness: Guaranteeing Correctness and Availability in P2P Range Indices (PL, AC, JG, JS), pp. 323–334.
SIGMOD-2004-CrainiceanuLMGS #framework #peer-to-peer: An Indexing Framework for Peer-to-Peer Systems (AC, PL, AM, JG, JS), pp. 939–940.
SIGMOD-2004-DasGR #approximate: Approximation Techniques for Spatial Data (AD, JG, MR), pp. 695–706.
VLDB-2004-KiferBG #data type #detection: Detecting Change in Data Streams (DK, SBD, JG), pp. 180–191.
PODS-2003-EvfimievskiGS #data mining #mining #privacy: Limiting privacy breaches in privacy preserving data mining (AVE, JG, RS), pp. 211–222.
PODS-2003-KiferGBW #how: How to quickly find a witness (DK, JG, CB, WMW), pp. 272–283.
SIGMOD-2003-DasGR #approximate #data type: Approximate Join Processing Over Data Streams (AD, JG, MR), pp. 40–51.
KDD-2002-AyresFGY #mining #representation #using: Sequential PAttern mining using a bitmap representation (JA, JF, JG, TY), pp. 429–435.
KDD-2002-Ben-DavidGS #data flow #framework #learning: A theoretical framework for learning from a pool of disparate data sources (SBD, JG, RS), pp. 443–449.
KDD-2002-BucilaGKW #algorithm #constraints #named: DualMiner: a dual-pruning algorithm for itemsets with constraints (CB, JG, DK, WMW), pp. 42–51.
KDD-2002-DobraG #algorithm #linear #named #scalability: SECRET: a scalable linear regression tree algorithm (AD, JG), pp. 481–487.
KDD-2002-EvfimievskiSAG #mining #privacy: Privacy preserving mining of association rules (AVE, RS, RA, JG), pp. 217–228.
PODS-2002-ChuHG #optimisation #query #question #what: Least Expected Cost Query Optimization: What Can We Expect? (FCC, JYH, JG), pp. 293–302.
SIGMOD-2002-DobraGGR #data type #query: Processing complex aggregate queries over data streams (AD, MNG, JG, RR), pp. 61–72.
SIGMOD-2002-FungSG #database #named #network: COUGAR: the network is the database (WFF, DS, JG), p. 621.
SIGMOD-2002-GarofalakisGR #data type #mining #query #tutorial: Querying and mining data streams: you only get one look a tutorial (MNG, JG, RR), p. 635.
VLDB-2002-GarofalakisG #data type #mining #query: Querying and Mining Data Streams: You Only Get One Look (MNG, JG).
ICML-2001-DobraG #bias #classification: Bias Correction in Classification Tree Construction (AD, JG), pp. 90–97.
KDD-T-2001-GehrkeL #roadmap: Advances in decision tree construction (JG, WYL), pp. 119–185.
KDD-1999-GantiGR #category theory #clustering #named #summary #using: CACTUS — Clustering Categorical Data Using Summaries (VG, JG, RR), pp. 73–83.
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-GehrkeGRL: BOAT-Optimistic Decision Tree Construction (JG, VG, RR, WYL), pp. 169–180.
SIGMOD-1998-AgrawalGGR #automation #clustering #data mining #mining: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications (RA, JG, DG, PR), pp. 94–105.
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.
SIGMOD-1997-CareyDNAGS #benchmark #metric: The BUCKY Object-Relational Benchmark (MJC, DJD, JFN, MA, PB, JG, DS), pp. 135–146.
ASPLOS-2017-MisraCGL #lightweight #precise #transaction: Enabling Lightweight Transactions with Precision Time (PAM, JSC, JG, ARL), pp. 779–794.