Algorithms for knowledge discovery using relation identification methods
Independent thesis Advanced level (degree of Master (Two Years))Student thesis
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.
knowledge extraction from data, relational knowledge representation, relational system, relation identification method, modified coverage knowledge discovery method
IdentifiersURN: urn:nbn:se:bth-2563Local ID: oai:bth.se:arkivex82D86F7E0F484CFEC12576460053A410OAI: oai:DiVA.org:bth-2563DiVA: diva2:829847
Double Diploma Programme, polish supervisor: prof. Jerzy Świątek, Wrocław University of Technology2015-04-222009-10-052015-06-30Bibliographically approved