BibSLEIGH — Neoklis

Travelled to:

1 × Australia
1 × Canada
1 × China
1 × France
1 × Germany
1 × Greece
1 × Korea
2 × Austria
8 × USA

Collaborated with:

K.Schnaitter A.G.Parameswaran M.N.Garofalakis J.Spiegel H.Garcia-Molina J.Widom T.Milo J.LeFevre Q.T.Tran J.Sankaranarayanan H.Hacigümüs J.Tatemura H.Park D.Dash A.Ailamaki J.Finger ∅ D.Bhagwat M.Vartak S.Madden K.Morfonios M.J.Carey A.Vlachou C.Doulkeridis G.Candea R.Vingralek O.Greenshpan L.Getoor Y.E.Ioannidis T.Condie P.Mineiro M.Weimer M.P.Consens K.Ioannidou I.Jimenez H.Sanchez D.Deutch T.Yam S.Abiteboul E.D.Pontikakis S.Budalakoti S.Rahman A.D.Sarma I.Alagiannis S.Boyd A.Gupta A.Ramesh R.Pang J.Akbarnejad G.Chatzopoulou M.Eirinaki S.Koshy S.Mittal D.On J.S.V.Varman

Talks about:

queri (8) data (7) system (5) optim (5) design (4) index (4) graph (4) tune (4) join (4) xml (4)

Person: Neoklis Polyzotis

DBLP: Polyzotis:Neoklis

Facilitated 1 volumes:

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2002

Wrote 34 papers:

SIGMOD-2015-TranMP: Oracle Workload Intelligence (QTT, KM, NP), pp. 1669–1681.
VLDB-2015-VartakRMPP #data-driven #named #performance #recommendation #visual notation #visualisation: SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics (MV, SR, SM, AGP, NP), pp. 2182–2193.
SIGMOD-2014-LeFevreSHTPC #big data #data analysis #design #physics: Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
SIGMOD-2014-LeFevreSHTPC14a #big data #multi #named #query: MISO: souping up big data query processing with a multistore system (JL, JS, HH, JT, NP, MJC), pp. 1591–1602.
VLDB-2014-ParameswaranBG0PW #algorithm #rating: Optimal Crowd-Powered Rating and Filtering Algorithms (AGP, SB, HGM, AG, NP, JW), pp. 685–696.
VLDB-2014-VartakMPP #automation #generative #named #query #visualisation: SEEDB: Automatically Generating Query Visualizations (MV, SM, AGP, NP), pp. 1581–1584.
SIGMOD-2013-CondieMPW #big data #machine learning: Machine learning for big data (TC, PM, NP, MW), pp. 939–942.
VLDB-2013-HacigumusSTLP #multi #named: Odyssey: A Multi-Store System for Evolutionary Analytics (HH, JS, JT, JL, NP), pp. 1180–1181.
CIKM-2012-ParameswaranPGPW #crowdsourcing #declarative #named: Deco: declarative crowdsourcing (AGP, HP, HGM, NP, JW), pp. 1203–1212.
SIGMOD-2012-ConsensILP #database #design #physics: Divergent physical design tuning for replicated databases (MPC, KI, JL, NP), pp. 49–60.
SIGMOD-2012-JimenezSTP #automation #named: Kaizen: a semi-automatic index advisor (IJ, HS, QTT, NP), pp. 685–688.
SIGMOD-2012-ParameswaranGPPRW #algorithm #named: CrowdScreen: algorithms for filtering data with humans (AGP, HGM, HP, NP, AR, JW), pp. 361–372.
VLDB-2012-ParkPPGPW #crowdsourcing #declarative #named: Deco: A System for Declarative Crowdsourcing (HP, RP, AGP, HGM, NP, JW), pp. 1990–1993.
VLDB-2012-SchnaitterP #automation: Semi-Automatic Index Tuning: Keeping DBAs in the Loop (KS, NP), pp. 478–489.
SIGMOD-2011-VlachouDP #query: Skyline query processing over joins (AV, CD, NP), pp. 73–84.
VLDB-2011-DashPA #interactive #named #scalability: CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads (DD, NP, AA), pp. 362–372.
VLDB-2011-ParameswaranSGPW #graph: Human-assisted graph search: it’s okay to ask questions (AGP, ADS, HGM, NP, JW), pp. 267–278.
SIGMOD-2010-AlagiannisDSAP #automation #design #interactive: An automated, yet interactive and portable DB designer (IA, DD, KS, AA, NP), pp. 1183–1186.
VLDB-2010-AkbarnejadCEKMOPV #recommendation #sql: SQL QueRIE Recommendations (JA, GC, ME, SK, SM, DO, NP, JSVV), pp. 1597–1600.
VLDB-2010-DeutchMPY #evaluation #process #query: Optimal Top-K Query Evaluation for Weighted Business Processes (DD, TM, NP, TY), pp. 940–951.
SIGMOD-2009-FingerP #algorithm #evaluation #performance #rank #robust: Robust and efficient algorithms for rank join evaluation (JF, NP), pp. 415–428.
VLDB-2009-CandeaPV #concurrent #predict #scalability: A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses (GC, NP, RV), pp. 277–288.
VLDB-2009-GreenshpanMP: Autocompletion for Mashups (OG, TM, NP), pp. 538–549.
VLDB-2009-SchnaitterPG #analysis #design #interactive #modelling #physics: Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications (KS, NP, LG), pp. 1234–1245.
PODS-2008-SchnaitterP #rank: Evaluating rank joins with optimal cost (KS, NP), pp. 43–52.
VLDB-2007-SchnaitterSP #estimation #optimisation #query #ranking: Depth Estimation for Ranking Query Optimization (KS, JS, NP), pp. 902–913.
SIGMOD-2006-SchnaitterAMP #named #online: COLT: continuous on-line tuning (KS, SA, TM, NP), pp. 793–795.
SIGMOD-2006-SpiegelP #estimation #graph #relational: Graph-based synopses for relational selectivity estimation (JS, NP), pp. 205–216.
VLDB-2006-SpiegelPBP #approximate #named #query #xml: AQAX: A System for Approximate XML Query Answers (JS, EDP, SB, NP), pp. 1159–1162.
CIKM-2005-Polyzotis #clustering #effectiveness #optimisation #paradigm #query: Selectivity-based partitioning: a divide-and-union paradigm for effective query optimization (NP), pp. 720–727.
HT-2005-BhagwatP #file system #semantics #using: Searching a file system using inferred semantic links (DB, NP), pp. 85–87.
SIGMOD-2004-PolyzotisGI #approximate #query #xml: Approximate XML Query Answers (NP, MNG, YEI), pp. 263–274.
SIGMOD-2002-PolyzotisG #database #statistics #xml: Statistical synopses for graph-structured XML databases (NP, MNG), pp. 358–369.
VLDB-2002-PolyzotisG #graph #xml: Structure and Value Synopses for XML Data Graphs (NP, MNG), pp. 466–477.