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Algorithms for knowledge discovery using relation identification methods
Blekinge Institute of Technology, School of Computing.
2009 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

In this work a coherent survey of problems connected with relational knowledge representation and methods for achieving relational knowledge representation were presented. Proposed approach was shown on three applications: economic case, biomedical case and benchmark dataset. All crucial definitions were formulated and three main methods for relation identification problem were shown. Moreover, for specific relational models and observations’ types different identification methods were presented.

Place, publisher, year, edition, pages
2009. , 100 p.
Keyword [en]
knowledge extraction from data, relational knowledge representation, relational system, relation identification method, modified coverage knowledge discovery method
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-2563Local ID: oai:bth.se:arkivex82D86F7E0F484CFEC12576460053A410OAI: oai:DiVA.org:bth-2563DiVA: diva2:829847
Uppsok
Technology
Supervisors
Note
Double Diploma Programme, polish supervisor: prof. Jerzy Świątek, Wrocław University of TechnologyAvailable from: 2015-04-22 Created: 2009-10-05 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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