BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × China
1 × Egypt
1 × Germany
1 × Spain
1 × United Kingdom
5 × USA
Collaborated with:
D.A.Keim F.Rosner A.Gohr M.Spiliopoulou W.Lehner D.Habich M.Wawryniuk C.C.Aggarwal S.Peßler C.Oberländer A.Gionis S.Papadimitriou P.Tsaparas M.Gleditzsch M.Priebe A.Both
Talks about:
cluster (7) dimension (5) high (4) data (4) databas (3) larg (3) document (2) visual (2) futur (2) past (2)

Person: Alexander Hinneburg

DBLP DBLP: Hinneburg:Alexander

Contributed to:

CIKM 20142014
SIGMOD 20122012
KDIR 20102010
KDD 20052005
VLDB 20032003
SIGMOD 20022002
VLDB 20002000
KDD-T 19991999
SIGMOD 19991999
VLDB 19991999
KDD 19981998

Wrote 11 papers:

CIKM-2014-HinneburgRPO #documentation #topic
Exploring Document Collections with Topic Frames (AH, FR, SP, CO), pp. 2084–2086.
SIGMOD-2012-RosnerHGPB #correlation #performance #word
Fast sampling word correlations of high dimensional text data (FR, AH, MG, MP, AB), p. 866.
KDIR-2010-GohrSH #documentation #evolution #social #visual notation
Visually Summarizing the Evolution of Documents under a Social Tag (AG, MS, AH), pp. 85–94.
KDD-2005-GionisHPT #clustering
Dimension induced clustering (AG, AH, SP, PT), pp. 51–60.
VLDB-2003-HinneburgLH #data mining #database #mining #named
COMBI-Operator: Database Support for Data Mining Applications (AH, WL, DH), pp. 429–439.
SIGMOD-2002-HinneburgKW #clustering #named #visual notation
HD-Eye: visual clustering of high dimensional data (AH, DAK, MW), p. 629.
VLDB-2000-HinneburgAK #nearest neighbour #question #what
What Is the Nearest Neighbor in High Dimensional Spaces? (AH, CCA, DAK), pp. 506–515.
KDD-T-1999-KeimH #clustering #scalability #set
Clustering Techniques for Large Data Sets — from the Past to the Future (DAK, AH), pp. 141–181.
SIGMOD-1999-HinneburgK #clustering #database #scalability
Clustering Methods for Large Databases: From the Past to the Future (AH, DAK), p. 509.
VLDB-1999-KeimH #clustering #towards
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering (AH, DAK), pp. 506–517.
KDD-1998-HinneburgK #approach #clustering #database #multi #performance #scalability
An Efficient Approach to Clustering in Large Multimedia Databases with Noise (AH, DAK), pp. 58–65.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.