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Weka4WS is an extension of the Weka toolkit to support remote execution of data mining tasks as grid services. A first version of Weka4WS supporting concurrent execution of multiple data mining tasks on remote grid nodes has been presented in a previous work. In this paper we present a new version supporting also the composition and execution of data mining workflows on a grid. This new version of...
This paper describes how distributed data mining models, such as collective learning, ensemble learning, and meta-learning models, can be implemented as WSRF mining services by exploiting the Grid infrastructure. Our goal is to design a general distributed architectural model that can be exploited for different distributed mining algorithms deployed as Grid services for the analysis of dispersed data...
Coastal buoys and stations provide frequent, high quality marine observations for oceanographic study, weather service, atmospheric and public safety. Sharing of the generated data sets requires tremendous efforts and coordination among the different sensor network agencies to come to a shared understanding and for dissemination in a uniform way. Syntactic standardization provides data description...
Nowadays, small and medium enterprises (SMEs) are forced to compete on a global market and to make strategic decisions in short periods of time. In order to allow SMEs access to information technologies which can support their competition on a global scale, public administrations are fostering the setting up of digital districts. In this paper, we describe a distributed collaborative data mining platform,...
Active KDD research groups typically make their software tools at disposal of others through the net. However, integration and reuse of these tools typically require a considerable amount of time to understand software scope and use, install it, transform data in a format compatible with the required input. This paper introduces a semantic based, service-oriented framework for tools sharing and reuse,...
We describe Deimos, a system that automatically discovers and models new sources of information.The system exploits four core technologies developed by our group that makes an end-to-end solution to this problem possible. First, given an example source, Deimos finds other similar sources online. Second, it invokes and extracts data from these sources. Third, given the syntactic structure of a source,...
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