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Different biological labs conduct similar experiments on same diseases. It is highly desirable to have a better model based on more experimental results than that on a single result. In this paper, we propose a method for integrating microarray data from multiple sources for building classification models. To test the method, we use three real world microarray data sets from different labs with different...
Workflow systems can manage complex scientific applications with distributed data processing. Although some workflow systems can represent collections of data with very compact abstractions and manage their execution efficiently, there are no approaches to date to manage collections of application components required to express some scientific applications. We present an approach to handle collections...
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many difficult research challenges. The proposed system addresses these challenges by an architecture based on three main technical advances, (i) introduction of new constructs and synoptic data structures whereby complex KDD queries...
Information is getting more and more today, how to handle high dimensions data and high complexity data are the key issues of this contribution. Multi-attribute data usually possesses high data dimension and high data complexity. In order to solve these problems, the contribution proposes a new information fusion model which is briefly described as follows: (1) Reduce data dimensions by principal...
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