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Travelled to:
1 × Australia
1 × Chile
1 × Egypt
1 × Finland
1 × France
1 × Greece
1 × India
1 × Italy
2 × Germany
3 × China
33 × USA
4 × Canada
Collaborated with:
M.Ester M.Renz B.Seeger M.Schubert A.Züfle S.Berchtold T.Seidl C.Böhm X.Xu M.Pfeifle J.Sander V.Tresp A.Zimek P.Kröger T.Brinkhoff D.A.Keim T.Emrich K.Yu M.Ankerst B.Braunmüller E.Schubert T.Bernecker M.M.Breunig R.Schneider K.M.Borgwardt S.Yu T.Ottmann J.Niedermayer E.Achtert P.Kunath N.Mamoulis M.Weiler M.Nickel J.Aßfalg S.Böttger M.Pötke E.Ntoutsi K.Stefanidis K.Rausch F.Graf R.T.Ng C.Elsen A.Frommelt N.Beckmann M.Zimmermann I.Ntoutsi Z.F.Siddiqui M.Spiliopoulou M.Bundschus A.Bauer-Mehren L.I.Furlong R.Cheng F.Verhein O.Hilliges A.Pryakhin A.Butz M.Wu Z.Xu S.Brecheisen A.Schwaighofer M.Wimmer M.Franzke A.Suhartha S.Zankl H.Obermaier J.Peters C.H.v.d.Meijden L.Chen
Talks about:
databas (15) cluster (14) effici (13) data (13) spatial (11) base (9) uncertain (8) similar (8) search (8) process (7)

Person: Hans-Peter Kriegel

DBLP DBLP: Kriegel:Hans=Peter

Contributed to:

CIKM 20142014
KDD 20142014
SIGMOD 20142014
VLDB 20142013
SIGMOD 20132013
CIKM 20122012
SAC 20122012
ICML 20112011
VLDB 20112011
CIKM 20102010
SIGMOD 20102010
VLDB 20102010
CIKM 20092009
KDD 20092009
KDD 20082008
VLDB 20082008
HCI v3 20072007
CIKM 20062006
ICML 20062006
KDD 20062006
SIGMOD 20062006
CIKM 20052005
ICEIS v5 20052005
ICML 20052005
KDD 20052005
VLDB 20042004
SIGMOD 20032003
CIKM 20022002
KDD 20022002
CIKM 20012001
CIKM 20002000
KDD 20002000
SIGMOD 20002000
VLDB 20002000
KDD 19991999
SIGMOD 19991999
KDD 19981998
SIGMOD 19981998
VLDB 19981998
KDD 19971997
PODS 19971997
SIGMOD 19971997
VLDB 19971997
KDD 19961996
VLDB 19961996
KDD 19951995
SIGMOD 19951995
SIGMOD 19941994
VLDB 19941994
SIGMOD 19931993
SIGMOD 19901990
VLDB 19901990
VLDB 19881988
SIGMOD 19841984
ICALP 19771977
ADL 20002000

Wrote 65 papers:

CIKM-2014-NtoutsiSRK #clustering #difference #quote #recommendation
“Strength Lies in Differences”: Diversifying Friends for Recommendations through Subspace Clustering (EN, KS, KR, HPK), pp. 729–738.
KDD-2014-SchubertWK #detection #named #scalability #topic
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
SIGMOD-2014-EmrichFKNRZ #framework #nondeterminism
An extendable framework for managing uncertain spatio-temporal data (TE, MF, HPK, JN, MR, AZ), pp. 1087–1090.
VLDB-2014-NiedermayerZERM0K13 #nearest neighbour #nondeterminism #probability #query
Probabilistic Nearest Neighbor Queries on Uncertain Moving Object Trajectories (JN, AZ, TE, MR, NM, LC, HPK), pp. 205–216.
SIGMOD-2013-AchtertKSZ #3d #coordination #data mining #interactive #mining
Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.
CIKM-2012-BerneckerEKRZ #database #fuzzy #probability #ranking
Probabilistic ranking in fuzzy object databases (TB, TE, HPK, MR, AZ), pp. 2647–2650.
CIKM-2012-EmrichKMRZ #nondeterminism
Indexing uncertain spatio-temporal data (TE, HPK, NM, MR, AZ), pp. 395–404.
CIKM-2012-EmrichKNRSZ #graph #monte carlo #nondeterminism #probability #query
Exploration of monte-carlo based probabilistic query processing in uncertain graphs (TE, HPK, JN, MR, AS, AZ), pp. 2728–2730.
SAC-2012-ZimmermannNSSK
Discovering global and local bursts in a stream of news (MZ, IN, ZFS, MS, HPK), pp. 807–812.
ICML-2011-NickelTK #learning #multi
A Three-Way Model for Collective Learning on Multi-Relational Data (MN, VT, HPK), pp. 809–816.
VLDB-2011-BerneckerEKRZZ #nearest neighbour #nondeterminism #performance #probability #query
Efficient Probabilistic Reverse Nearest Neighbor Query Processing on Uncertain Data (TB, TE, HPK, MR, SZ, AZ), pp. 669–680.
CIKM-2010-BundschusBTFK #case study #information management
Digging for knowledge with information extraction: a case study on human gene-disease associations (MB, ABM, VT, LIF, HPK), pp. 1845–1848.
SIGMOD-2010-EmrichKKRZ
Boosting spatial pruning: on optimal pruning of MBRs (TE, HPK, PK, MR, AZ), pp. 39–50.
SIGMOD-2010-GrafKRS #named
PAROS: pareto optimal route selection (FG, HPK, MR, MS), pp. 1199–1202.
VLDB-2010-RenzCK #database #mining #nondeterminism #similarity
Similarity Search and Mining in Uncertain Databases (MR, RC, HPK, AZ, TB), pp. 1653–1654.
CIKM-2009-KriegelKOPRM #database #named
OSSOBOOK: database and knowledgemanagement techniques for archaeozoology (HPK, PK, HO, JP, MR, CHvdM), pp. 2091–2092.
CIKM-2009-KriegelKSZ #named
LoOP: local outlier probabilities (HPK, PK, ES, AZ), pp. 1649–1652.
KDD-2009-BerneckerKRVZ #database #mining #nondeterminism #probability
Probabilistic frequent itemset mining in uncertain databases (TB, HPK, MR, FV, AZ), pp. 119–128.
KDD-2008-KriegelSZ #detection
Angle-based outlier detection in high-dimensional data (HPK, MS, AZ), pp. 444–452.
VLDB-2008-KriegelKZ #clustering #correlation #detection
Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering (HPK, PK, AZ), pp. 1528–1529.
HCI-MIE-2007-HilligesKPBK #analysis #automation #classification #image #quality #sorting #using
Browsing and Sorting Digital Pictures Using Automatic Image Classification and Quality Analysis (OH, PK, AP, AB, HPK), pp. 882–891.
CIKM-2006-AssfalgBK #3d #classification #kernel #named #string
3DString: a feature string kernel for 3D object classification on voxelized data (JA, KMB, HPK), pp. 198–207.
ICML-2006-YuYTK #collaboration
Collaborative ordinal regression (SY, KY, VT, HPK), pp. 1089–1096.
KDD-2006-AchtertBKKZ #clustering #correlation #modelling
Deriving quantitative models for correlation clusters (EA, CB, HPK, PK, AZ), pp. 4–13.
KDD-2006-YuYTKW #analysis #component #probability
Supervised probabilistic principal component analysis (SY, KY, VT, HPK, MW), pp. 464–473.
SIGMOD-2006-BorgwardtBK #graph #mining #named #visual notation
VGM: visual graph mining (KMB, SB, HPK), pp. 733–735.
CIKM-2005-KriegelP #clustering #distributed #effectiveness #performance
Efficient and effective server-sided distributed clustering (HPK, MP), pp. 339–340.
ICEIS-v5-2005-KriegelKPR #performance
Efficient Join Processing for Complex Rasterized Objects (HPK, PK, MP, MR), pp. 20–30.
ICML-2005-XuTYYK #learning #relational
Dirichlet enhanced relational learning (ZX, VT, KY, SY, HPK), pp. 1004–1011.
KDD-2005-KriegelP #clustering #nondeterminism
Density-based clustering of uncertain data (HPK, MP), pp. 672–677.
VLDB-2004-EsterKS #crawling #performance
Accurate and Efficient Crawling for Relevant Websites (ME, HPK, MS), pp. 396–407.
SIGMOD-2003-KriegelBKPS #set #similarity #using
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects (HPK, SB, PK, MP, MS), pp. 587–598.
CIKM-2002-YuXSTK #collaboration #consistency #in memory #nondeterminism
Removing redundancy and inconsistency in memory-based collaborative filtering (KY, XX, AS, VT, HPK), pp. 52–59.
KDD-2002-EsterKS #mining #web
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web (ME, HPK, MS), pp. 249–258.
CIKM-2001-YuXEK #collaboration #performance
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering (KY, XX, ME, HPK), pp. 239–246.
CIKM-2000-BohmBBK #clustering #performance #similarity
High Performance Clustering Based on the Similarity Join (CB, BB, MMB, HPK), pp. 298–305.
KDD-2000-AnkerstEK #classification #effectiveness #towards
Towards an effective cooperation of the user and the computer for classification (MA, ME, HPK), pp. 179–188.
SIGMOD-2000-BreunigKNS #identification #named
LOF: Identifying Density-Based Local Outliers (MMB, HPK, RTN, JS), pp. 93–104.
VLDB-2000-KriegelPS #database
Managing Intervals Efficiently in Object-Relational Databases (HPK, MP, TS), pp. 407–418.
KDD-1999-AnkerstEEK #approach #classification #interactive #visual notation
Visual Classification: An Interactive Approach to Decision Tree Construction (MA, CE, ME, HPK), pp. 392–396.
SIGMOD-1999-AnkerstBKS #clustering #identification #named
OPTICS: Ordering Points To Identify the Clustering Structure (MA, MMB, HPK, JS), pp. 49–60.
KDD-1998-EsterFKS #algorithm #database #detection
Algorithms for Characterization and Trend Detection in Spatial Databases (ME, AF, HPK, JS), pp. 44–50.
SIGMOD-1998-BerchtoldBK #towards
The Pyramid-Technique: Towards Breaking the Curse of Dimensionality (SB, CB, HPK), pp. 142–153.
SIGMOD-1998-SeidlK #multi #nearest neighbour
Optimal Multi-Step k-Nearest Neighbor Search (TS, HPK), pp. 154–165.
VLDB-1998-AnkerstBKS #adaptation #approximate #query #similarity #using
Improving Adaptable Similarity Query Processing by Using Approximations (MA, BB, HPK, TS), pp. 206–217.
VLDB-1998-EsterKSWX #clustering #incremental #mining
Incremental Clustering for Mining in a Data Warehousing Environment (ME, HPK, JS, MW, XX), pp. 323–333.
KDD-1997-EsterKSX #database #detection #set
Density-Connected Sets and their Application for Trend Detection in Spatial Databases (ME, HPK, JS, XX), pp. 10–15.
PODS-1997-BerchtoldBKK #cost analysis #nearest neighbour
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space (SB, CB, DAK, HPK), pp. 78–86.
SIGMOD-1997-BerchtoldBBKK #database #parallel #performance #similarity
Fast Parallel Similarity Search in Multimedia Databases (SB, CB, BB, DAK, HPK), pp. 1–12.
SIGMOD-1997-BerchtoldK #database #named #similarity
S3: Similarity Search in CAD Database Systems (SB, HPK), pp. 564–567.
VLDB-1997-SeidlK #adaptation #database #multi #performance #scalability #similarity
Efficient User-Adaptable Similarity Search in Large Multimedia Databases (TS, HPK), pp. 506–515.
KDD-1996-EsterKSX #algorithm #clustering #database #scalability
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
VLDB-1996-BerchtoldKK
The X-tree : An Index Structure for High-Dimensional Data (SB, DAK, HPK), pp. 28–39.
KDD-1995-EsterKX #clustering #database #interface #scalability
A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.
SIGMOD-1995-KeimK #database #named #scalability #visualisation
VisDB: A System for Visualizing Large Databases (DAK, HPK), p. 482.
SIGMOD-1994-BrinkhoffKSS #multi
Multi-Step Processing of Spatial Joins (TB, HPK, RS, BS), pp. 197–208.
SIGMOD-1994-BrinkhoffKSS94a #named #performance #query
GENESYS: A System for Efficient Spatial Query Processing (TB, HPK, RS, BS), p. 519.
VLDB-1994-BrinkhoffK #clustering #database
The Impact of Global Clustering on Spatial Database Systems (TB, HPK), pp. 168–179.
SIGMOD-1993-BrinkhoffKS #performance #using
Efficient Processing of Spatial Joins Using R-Trees (TB, HPK, BS), pp. 237–246.
SIGMOD-1990-BeckmannKSS #performance #robust
The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles (NB, HPK, RS, BS), pp. 322–331.
VLDB-1990-SeegerK #database #performance #robust
The Buddy-Tree: An Efficient and Robust Access Method for Spatial Data Base Systems (BS, HPK), pp. 590–601.
VLDB-1988-SeegerK #data access #design #implementation #performance
Techniques for Design and Implementation of Efficient Spatial Access Methods (BS, HPK), pp. 360–371.
SIGMOD-1984-Kriegel #comparison #multi #performance #retrieval
Performance Comparison of Index Structures for Multi-Key Retrieval (HPK), pp. 186–196.
ICALP-1977-KriegelO
Left-Fitting Translations (HPK, TO), pp. 309–322.
ADL-2000-BohmBKS #library #performance #similarity
Efficient Similarity Search in Digital Libraries (CB, BB, HPK, MS), pp. 193–199.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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