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Abstract
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| Knowledge discovery approaches in modern biomedical research usually require to access heterogeneous and remote data sources in a distributed environment. Traditional KDD models assumed a central repository, lacking mechanisms to access decentralized databases. In such distributed environment, ontologies can be used in all the KDD phases. We present here a new model of ontology-based KDD approach to improve data preprocessing from heterogeneous sources. | |
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International
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Si |
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Congress
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Annual Symposyum de la Americal Medical Informatics Association (AMIA) 2007 |
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960 |
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Place
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Chicago (USA) |
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Reviewers
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Si |
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ISBN/ISSN
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Start Date
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11/11/2007 |
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End Date
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14/11/2007 |
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From page
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To page
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