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» Mining Multiple Large Databases
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DBVIS
1993
101views Database» more  DBVIS 1993»
13 years 9 months ago
Using Visualization to Support Data Mining of Large Existing Databases
In this paper, we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provid...
Daniel A. Keim, Hans-Peter Kriegel
DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
13 years 12 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika
KDD
1995
ACM
92views Data Mining» more  KDD 1995»
13 years 8 months ago
A Database Interface for Clustering in Large Spatial Databases
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
SIGMOD
1998
ACM
199views Database» more  SIGMOD 1998»
13 years 9 months ago
MultiMediaMiner: A System Prototype for Multimedia Data Mining
Multimedia data mining is the mining of high-level multimedia information and knowledge from large multimedia databases. A multimedia data mining system prototype, MultiMediaMiner...
Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonn...
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
13 years 9 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina