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VLDB
2001
ACM
109views Database» more  VLDB 2001»
15 years 9 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
CAISE
2004
Springer
15 years 10 months ago
Modelling Data-Intensive Web Sites with OntoWeaver
This paper illustrates the OntoWeaver modelling approach, which relies on a set of comprehensive site ontologies to model all aspects of dataintensive web sites and thus offers hig...
Yuangui Lei, Enrico Motta, John Domingue
COMPSAC
2005
IEEE
15 years 6 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
139
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CIKM
2009
Springer
15 years 9 months ago
Answering XML queries using materialized views revisited
Answering queries using views is a well-established technique in databases. In this context, two outstanding problems can be formulated. The first one consists in deciding whethe...
Xiaoying Wu, Dimitri Theodoratos, Wendy Hui Wang
ISMIS
1999
Springer
15 years 9 months ago
Applications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Willi Klösgen