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master's thesis
Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu
2015. urn:nbn:hr:211:788980
Bilić, Petra
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Bilić, P. (2015). Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:788980

Bilić, Petra. "Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:788980

Bilić, Petra. "Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:788980

Bilić, P. (2015). 'Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:788980

Bilić P. Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2015 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:211:788980

P. Bilić, "Primjena metode otkrivanja znanja u podacima CRISP-DM u marketingu", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:211:788980

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Metadata
TitlePrimjena metode otkrivanja znanja u podacima CRISP-DM u marketingu
Title (english)Application of knowledge discovery in databases method CRISP-DM in marketing
AuthorPetra Bilić
MentorBožidar Kliček (mentor)
MBZ: 95426
Committee memberKornelije Rabuzin
MBZ: 246472
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2015-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
U ovom radu napravljeno je rudarenje podataka po CRISP – DM metodi na marketinškom skupu podataka jedne portugalske banke. Da bi se postigli optimalni rezultati, ispitane su 4 različite tehnike (logistička regresija, neuronske mreže, naivni Bayesov klasifikator i stablo odlučivanja), svaka kroz više iteracija s različitim konfiguracijama. Najbolji modeli su razvijeni neuronskom mrežom i logističkom regresijom. U radu je prikazana usporedba između CRISP –DM, KDD i SEMMA metode. Budući da je analiza koja je provedena na marketinškom skupu podataka, vođena CRISP – DM metodom, postavlja se pitanje bi li isti rezultat bio dobiven da se koristila jedna od drugih dviju navedenih metoda.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:788980
Study programmeTitle: Database and Knowledge Base Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2017-01-26 13:47:53