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ER
2003
Springer
84views Database» more  ER 2003»
16 years 1 days ago
Resolving Structural Conflicts in the Integration of XML Schemas: A Semantic Approach
While the Internet has facilitated access to information sources, the task of scalable integration of these heterogeneous data sources remains a challenge. The adoption of the eXte...
Xia Yang, Mong-Li Lee, Tok Wang Ling
KDD
1997
ACM
208views Data Mining» more  KDD 1997»
15 years 10 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
16 years 3 days ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
ICML
2000
IEEE
16 years 7 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore