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» Discovering Classification from Data of Multiple Sources
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ASC
2011
13 years 2 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
PCI
2005
Springer
14 years 1 months ago
Protein Classification with Multiple Algorithms
Nowadays, the number of protein sequences being stored in central protein databases from labs all over the world is constantly increasing. From these proteins only a fraction has b...
Sotiris Diplaris, Grigorios Tsoumakas, Pericles A....
BIBM
2007
IEEE
14 years 1 months ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho
ISVC
2005
Springer
14 years 1 months ago
Tool for Storm Analysis Using Multiple Data Sets
This note describes a web-based tool for storm analysis using multiple data sets developed for use in research of thunderstorms and forecasting applications. The tool was developed...
Robert M. Rabin, Tom Whittaker
CHI
2006
ACM
14 years 8 months ago
Using hybrid networks for the analysis of online software development communities
Social network-based systems usually suffer from two major limitations: they tend to rely on a single data source (e.g. email traffic), and the form of network patterns is often p...
Yevgeniy Eugene Medynskiy, Nicolas Ducheneaut, Aym...