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VLDB
1998
ACM
127views Database» more  VLDB 1998»
14 years 1 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...
KDD
1995
ACM
104views Data Mining» more  KDD 1995»
14 years 23 days ago
Using Rough Sets as Tools for Knowledge Discovery
An attribute-oriented rough set method for knowledgediscovery in databases is described. Themethodis based on information generalization, whichexaminesthe data at various levels o...
Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Ni...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
IDEAS
2005
IEEE
165views Database» more  IDEAS 2005»
14 years 2 months ago
Privacy Aware Data Generation for Testing Database Applications
Testing of database applications is of great importance. A significant issue in database application testing consists in the availability of representative data. In this paper we...
Xintao Wu, Chintan Sanghvi, Yongge Wang, Yuliang Z...
SIGMOD
2007
ACM
170views Database» more  SIGMOD 2007»
14 years 9 months ago
Cardinality estimation using sample views with quality assurance
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Per-Åke Larson, Wolfgang Lehner, Jingren Zho...