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Soft computing techniques for web services brokering
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AI
DOI：10.1007/s00500-008-0277-0.png)
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Abstract
En 中文
To enhance and improve the interoperability of meteorological Web Services, we are currently developing an Integrated Web Services Brokering System (IWB). IWB uses a case-based classifier to automatically discover Web Services. In this paper, we explore the use of rough set techniques for selecting features prior to classification. We demonstrate the effectiveness of this feature technique by comparing it with a leading non-rough set (Information Gain) feature selection technique.
Keywords:
case-based classifier
rough sets
information gain
MetOc
ontology
Web Services
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IF:
2.5
Papers:
1.0W
Citations:
2.1W
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