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ICDE
2007
IEEE
133views Database» more  ICDE 2007»
16 years 29 days ago
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario
We propose a data warehousing architecture for effective risk analysis in a banking scenario. The core of the architecture consists in two data mining tools for improving the qual...
Gianni Costa, Francesco Folino, Antonio Locane, Gi...
BIBE
2005
IEEE
16 years 8 days ago
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets
One of the major problems in biological data integration is that many data sources are stored as flat-files, with a variety of different layouts. Integrating data from such sour...
Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agra...
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
16 years 1 months ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee
148
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WEBI
2004
Springer
15 years 12 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
15 years 8 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu