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Problems of inductive formation of knowledge in the ontology of medical diagnosis

Problems of inductive formation of knowledge in the ontology of medical diagnosis Statements of the major tasks of inductive formation of knowledge are suggested. These are classifications and clusterings, which are part of machine learning and are applied for dependence models with parameters that are not flawed in their traditional statement. An algorithm for knowledge base formation is presented for learning samples in almost real-life ontologies of medical diagnosis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Problems of inductive formation of knowledge in the ontology of medical diagnosis

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Publisher
Springer Journals
Copyright
Copyright © 2012 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105512010037
Publisher site
See Article on Publisher Site

Abstract

Statements of the major tasks of inductive formation of knowledge are suggested. These are classifications and clusterings, which are part of machine learning and are applied for dependence models with parameters that are not flawed in their traditional statement. An algorithm for knowledge base formation is presented for learning samples in almost real-life ontologies of medical diagnosis.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Mar 27, 2012

References