Postupci dubinske pretrage podataka u sustavima poslovne inteligencije

Pejaković, Ivo

prikaz prve stranice dokumenta Postupci dubinske pretrage podataka u sustavima poslovne inteligencije

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scientific master's theses

Postupci dubinske pretrage podataka u sustavima poslovne inteligencije

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2004. urn:nbn:hr:168:946702

Pejaković, Ivo

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Cite this document

APA 6th Edition

Pejaković, I. (2004). Postupci dubinske pretrage podataka u sustavima poslovne inteligencije (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:946702

MLA 8th Edition

Pejaković, Ivo. "Postupci dubinske pretrage podataka u sustavima poslovne inteligencije." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2004. https://urn.nsk.hr/urn:nbn:hr:168:946702

Chicago 17th Edition

Harvard

Pejaković, I. (2004). 'Postupci dubinske pretrage podataka u sustavima poslovne inteligencije', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:946702

Vancouver

Pejaković I. Postupci dubinske pretrage podataka u sustavima poslovne inteligencije [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2004 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:946702

IEEE

I. Pejaković, "Postupci dubinske pretrage podataka u sustavima poslovne inteligencije", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2004. Available at: https://urn.nsk.hr/urn:nbn:hr:168:946702

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:946702

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Metadata

Title	Postupci dubinske pretrage podataka u sustavima poslovne inteligencije
Title (english)	Data Mining Methods in Business Intelligence Systems
Author	Ivo Pejaković
Mentor	Zoran Skočir (mentor)
Committee member	Marijan Kunštić (član povjerenstva)
Committee member	Zoran Skočir (član povjerenstva)
Committee member	Mladen Varga (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Telecommunications) Zagreb
Defense date and country	2004, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing 65 - Communication and transport industries. Accountancy. Business management. Public relations
Abstract	Ovaj rad daje pregled tehnika dubinske pretrage podataka s posebnim osvrtom na mogućnosti njihove primjene u sustavima poslovne inteligencije, sustavima upravljanja odnosima s korisnicima te telekomunikacijskim sustavima. Namjera rada je bila prezentirati različite tehnike dubinske pretrage podataka s aspekta cilja koji se s njima želi postići. U radu je opisan cijeli proces modeliranja podataka koji prati dubinsku pretragu podataka. Na studijskom primjeru opisan je cjelovit proces modeliranja podataka korištenjem tehnikama deskriptivnog modeliranja te vizualizacijskim tehnikama. Na kraju su prezentirani rezultati modeliranja nad stvarnim podacima dobivenim iz velikog sustava.
Abstract (english)	This thesis gives an overview of data mining techniques with special emphasis on the possibilities of their usage in Business Intelligence Systems, Customer Relationship Management Systems and Telecommunications. The intention was to present different data mining techniques from the perspective of the goals wanted to be achieved by their usage. The whole process of data modelling that comes with data mining is also described. The case study describes the process of data modelling using techniques of descriptive modelling and visualization on real data gathered from telecom operator.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:946702
Study programme	Title: Postgraduate master programme in electrical engineering Study programme type: university Study level: postgraduate Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-06-06 11:14:22

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