BibSLEIGH — Nick

Travelled to:

1 × Austria
1 × China
1 × Egypt
1 × Germany
1 × India
1 × Italy
1 × Korea
1 × Norway
1 × United Kingdom
16 × USA
2 × Greece
3 × Canada

Collaborated with:

D.Srivastava S.Guha N.Bansal S.Muthukrishnan G.Das D.Gunopulos N.Sarkas A.Marathe H.V.Jagadish K.C.Sevcik C.Mishra A.Angel A.K.H.Tung M.Eftekhar M.Mathioudakis R.Zhang B.C.Ooi S.Cho A.Cheng M.Hadjieleftheriou D.Tsirogiannis P.Indyk C.Li ∅ B.Arai T.Yu S.Amer-Yahia G.Kollios M.Vlachos V.Hristidis Y.Ganjali C.Zuzarte S.Sarawagi N.Bruno K.Shim M.Malit C.Zhang Q.Zhang X.Yu F.Chiang F.W.Tompa R.Vernica L.Jin K.Tan N.Thaper P.Ferragina Z.Chen F.Korn A.Doan J.M.Kleinberg M.J.Franklin T.Nykiel M.Potamias A.Chandel O.Hassanzadeh M.Sadoghi A.Marian D.Toman C.Domeniconi A.Balmin Y.Papakonstantinou T.Wang L.Gravano P.G.Ipeirotis V.Poosala T.Suel

Talks about:

queri (13) data (13) stream (10) approxim (9) index (7) databas (6) match (6) join (6) histogram (5) select (5)

Person: Nick Koudas

DBLP: Koudas:Nick

Facilitated 1 volumes:

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1996

Wrote 63 papers:

SIGMOD-2014-ChengMZK #flexibility #named: SerpentTI: flexible analytics of users, boards and domains for pinterest (AC, MM, CZ, NK), pp. 1075–1078.
KDD-2013-EftekharGK: Information cascade at group scale (ME, YG, NK), pp. 401–409.
SIGMOD-2013-ChengBK #named #twitter: Peckalytics: analyzing experts and interests on Twitter (AC, NB, NK), pp. 973–976.
VLDB-2013-EftekharK #clustering #data flow #ranking: Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.
VLDB-2012-AngelKSS #identification #maintenance #realtime #streaming: Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification (AA, NK, NS, DS), pp. 574–585.
SIGMOD-2011-AngelK #performance: Efficient diversity-aware search (AA, NK), pp. 781–792.
SIGMOD-2010-Amer-YahiaDKKF #algorithm #big data: Crowds, clouds, and algorithms: exploring the human side of “big data” applications (SAY, AD, JMK, NK, MJF), pp. 1259–1260.
SIGMOD-2010-MathioudakisK #detection #named #twitter: TwitterMonitor: trend detection over the twitter stream (MM, NK), pp. 1155–1158.
VLDB-2010-AraiDGHK #approach #cost analysis #multi #retrieval: An Access Cost-Aware Approach for Object Retrieval over Multiple Sources (BA, GD, DG, VH, NK), pp. 1125–1136.
VLDB-2010-MathioudakisBK #identification: Identifying, Attributing and Describing Spatial Bursts (MM, NB, NK), pp. 1091–1102.
VLDB-2010-NykielPMKK #multi #named #pipes and filters #query: MRShare: Sharing Across Multiple Queries in MapReduce (TN, MP, CM, GK, NK), pp. 494–505.
SIGMOD-2009-AngelKSS #question #what: What’s on the grapevine? (AA, NK, NS, DS), pp. 1047–1050.
SIGMOD-2009-HadjieleftheriouKS #approximate #incremental #maintenance #normalisation #string: Incremental maintenance of length normalized indexes for approximate string matching (MH, NK, DS), pp. 429–440.
VLDB-2009-KoudasSYZ: Distribution-based Microdata Anonymization (NK, DS, TY, QZ), pp. 958–969.
VLDB-2009-SarkasBDK #keyword: Measure-driven Keyword-Query Expansion (NS, NB, GD, NK), pp. 121–132.
VLDB-2009-SarkasDK: Improved Search for Socially Annotated Data (NS, GD, NK), pp. 778–789.
VLDB-2009-TsirogiannisGK #performance: Improving the Performance of List Intersection (DT, SG, NK), pp. 838–849.
SIGMOD-2008-BansalGK #ad hoc: Ad-hoc aggregations of ranked lists in the presence of hierarchies (NB, SG, NK), pp. 67–78.
SIGMOD-2008-MishraK #query: Stretch’n’shrink: resizing queries to user preferences (CM, NK), pp. 1227–1230.
SIGMOD-2008-MishraKZ #database #generative #query #testing: Generating targeted queries for database testing (CM, NK, CZ), pp. 499–510.
SIGMOD-2008-SarkasDKT #category theory #streaming: Categorical skylines for streaming data (NS, GD, NK, AKHT), pp. 239–250.
VLDB-2008-HadjieleftheriouYKS #query #set #similarity: Hashed samples: selectivity estimators for set similarity selection queries (MH, XY, NK, DS), pp. 201–212.
SIGMOD-2007-ChandelHKSS #approximate #benchmark #declarative #metric: Benchmarking declarative approximate selection predicates (AC, OH, NK, MS, DS), pp. 353–364.
VLDB-2007-AraiDGK #algorithm #metric: Anytime Measures for Top-k Algorithms (BA, GD, DG, NK), pp. 914–925.
VLDB-2007-BansalCKT #clustering: Seeking Stable Clusters in the Blogosphere (NB, FC, NK, FWT), pp. 806–817.
VLDB-2007-BansalK #analysis #named #online: BlogScope: A System for Online Analysis of High Volume Text Streams (NB, NK), pp. 1410–1413.
VLDB-2007-DasGKS #ad hoc #data type #query: Ad-hoc Top-k Query Answering for Data Streams (GD, DG, NK, NS), pp. 183–194.
SIGMOD-2006-ChoKS #metadata #xpath: Meta-data indexing for XPath location steps (SC, NK, DS), pp. 455–466.
SIGMOD-2006-KoudasMS #case study #experience #using: Using SPIDER: an experience report (NK, AM, DS), p. 719.
SIGMOD-2006-KoudasSS #algorithm #metric #similarity: Record linkage: similarity measures and algorithms (NK, SS, DS), pp. 802–803.
VLDB-2006-DasGKT #query #using: Answering Top-k Queries Using Views (GD, DG, NK, DT), pp. 451–462.
VLDB-2006-KoudasLTV #query: Relaxing Join and Selection Queries (NK, CL, AKHT, RV), pp. 199–210.
VLDB-2006-Tung0KO #approach #similarity: Similarity Search: A Matching Based Approach (AKHT, RZ, NK, BCO), pp. 631–642.
SIGMOD-2005-KoudasMS #database #flexibility #named: SPIDER: flexible matching in databases (NK, AM, DS), pp. 876–878.
SIGMOD-2005-SrivastavaKZO #data type #multi: Multiple Aggregations Over Data Streams (RZ, NK, BCO, DS), pp. 299–310.
VLDB-2005-Amer-YahiaKMST #xml: Structure and Content Scoring for XML (SAY, NK, AM, DS, DT), pp. 361–372.
VLDB-2005-ChoKS #metadata #named #xml: MIX: A Meta-data Indexing System for XML (SC, NK, DS), pp. 1326–1329.
VLDB-2005-JinKLT #approximate #retrieval: Indexing Mixed Types for Approximate Retrieval (LJ, NK, CL, AKHT), pp. 793–804.
VLDB-2005-KoudasS #approximate #concept: Approximate Joins: Concepts and Techniques (NK, DS), p. 1363.
VLDB-2004-GuhaKMS #approximate: Merging the Results of Approximate Match Operations (SG, NK, AM, DS), pp. 636–647.
VLDB-2004-KoudasMS #database #flexibility #scalability #string: Flexible String Matching Against Large Databases in Practice (NK, AM, DS), pp. 1078–1086.
VLDB-2004-KoudasOT0 #approximate #bound #fault #performance #query: Approximate NN queries on Streams with Guaranteed Error/performance Bounds (NK, BCO, KLT, RZ), pp. 804–815.
KDD-2003-GuhaGK #correlation #data type: Correlating synchronous and asynchronous data streams (SG, DG, NK), pp. 529–534.
VLDB-2003-BalminHKPSW #database #keyword #proximity #xml: A System for Keyword Proximity Search on XML Databases (AB, VH, NK, YP, DS, TW), pp. 1069–1072.
VLDB-2003-KoudasGGSV #approximate #constraints #optimisation #parametricity #performance #query: Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints (SG, DG, NK, DS, MV), pp. 778–789.
VLDB-2003-KoudasS #data type #query #tutorial: Data Stream Query Processing: A Tutorial (NK, DS), p. 1149.
KDD-2002-VlachosDGKK #classification #reduction #visualisation: Non-linear dimensionality reduction techniques for classification and visualization (MV, CD, DG, GK, NK), pp. 645–651.
PODS-2002-GuhaKS #algorithm #performance: Fast Algorithms For Hierarchical Range Histogram Construction (SG, NK, DS), pp. 180–187.
SIGMOD-2002-BrunoKS #pattern matching #xml: Holistic twig joins: optimal XML pattern matching (NB, NK, DS), pp. 310–321.
SIGMOD-2002-GuhaJKSY #approximate #xml: Approximate XML joins (SG, HVJ, NK, DS, TY), pp. 287–298.
SIGMOD-2002-ThaperGIK #multi: Dynamic multidimensional histograms (NT, SG, PI, NK), pp. 428–439.
PODS-2001-FerraginaKMS #2d #string: Two-dimensional Substring Indexing (PF, NK, SM, DS).
STOC-2001-GuhaKS: Data-streams and histograms (SG, NK, KS), pp. 471–475.
VLDB-2001-GravanoIJKMS #approximate #database #for free #string: Approximate String Joins in a Database (Almost) for Free (LG, PGI, HVJ, NK, SM, DS), pp. 491–500.
CIKM-2000-Koudas #performance: Space Efficient Bitmap Indexing (NK), pp. 194–201.
PODS-2000-ChenKKM #estimation #query: Selectivity Estimation for Boolean Queries (ZC, FK, NK, SM), pp. 216–225.
PODS-2000-KoudasMS #query: Optimal Histograms for Hierarchical Range Queries (NK, SM, DS), pp. 196–204.
SIGMOD-2000-JagadishKS #effectiveness #multi #on the #string: On Effective Multi-Dimensional Indexing for Strings (HVJ, NK, DS), pp. 403–414.
VLDB-2000-KoudasIM #identification #roadmap #set #sketching #using: Identifying Representative Trends in Massive Time Series Data Sets Using Sketches (PI, NK, SM), pp. 363–372.
VLDB-1999-KoudasMJ #database #mining: Mining Deviants in a Time Series Database (HVJ, NK, SM), pp. 102–113.
VLDB-1998-JagadishKMPSS #quality: Optimal Histograms with Quality Guarantees (HVJ, NK, SM, VP, KCS, TS), pp. 275–286.
SIGMOD-1997-KoudasS: Size Separation Spatial Join (NK, KCS), pp. 324–335.
VLDB-1996-SevcikK: Filter Trees for Managing Spatial Data over a Range of Size Granularities (KCS, NK), pp. 16–27.