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Pregled bibliografske jedinice broj: 945809

Knowledge-management system development by induction rules

Bevanda, Vanja; Markic, Brano; Tomic, Dražena
Knowledge-management system development by induction rules // Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT / Katalinić, B. (ur.).
Beč: DAAAM International Vienna, 2003. str. 41-42 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 945809 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Knowledge-management system development by induction rules

Autori
Bevanda, Vanja ; Markic, Brano ; Tomic, Dražena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT / Katalinić, B. - Beč : DAAAM International Vienna, 2003, 41-42

ISBN
978-3-901509-34-6

Skup
14th International Symposium of the Danube-Adria- Association-for-Automation-and-Manufacturing

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 22.10.2003. - 25.10.2003

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
knowledge-management system ; ontology ; ontology acquisition ; data mining ; classification

Sažetak
Knowledge-management systems use ontology to represent formal, explicit specification of a business domain. Ontology provides share domain models, which are understandable to both human being and machines. This article explores possibilities of data mining techniques to support the knowledge-management system development. We applied modified ID3 algorithm to domain-relevant data and induced the most informative attributes and rules to enhance and refine the ontology acquisition process.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet ekonomije i turizma "Dr. Mijo Mirković", Pula

Profili:

Avatar Url Vanja Bevanda (autor)

Citiraj ovu publikaciju:

Bevanda, Vanja; Markic, Brano; Tomic, Dražena
Knowledge-management system development by induction rules // Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT / Katalinić, B. (ur.).
Beč: DAAAM International Vienna, 2003. str. 41-42 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bevanda, V., Markic, B. & Tomic, D. (2003) Knowledge-management system development by induction rules. U: Katalinić, B. (ur.)Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT.
@article{article, author = {Bevanda, Vanja and Markic, Brano and Tomic, Dra\v{z}ena}, editor = {Katalini\'{c}, B.}, year = {2003}, pages = {41-42}, keywords = {knowledge-management system, ontology, ontology acquisition, data mining, classification}, isbn = {978-3-901509-34-6}, title = {Knowledge-management system development by induction rules}, keyword = {knowledge-management system, ontology, ontology acquisition, data mining, classification}, publisher = {DAAAM International Vienna}, publisherplace = {Sarajevo, Bosna i Hercegovina} }
@article{article, author = {Bevanda, Vanja and Markic, Brano and Tomic, Dra\v{z}ena}, editor = {Katalini\'{c}, B.}, year = {2003}, pages = {41-42}, keywords = {knowledge-management system, ontology, ontology acquisition, data mining, classification}, isbn = {978-3-901509-34-6}, title = {Knowledge-management system development by induction rules}, keyword = {knowledge-management system, ontology, ontology acquisition, data mining, classification}, publisher = {DAAAM International Vienna}, publisherplace = {Sarajevo, Bosna i Hercegovina} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Conference Proceedings Citation Index - Science (CPCI-S)

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