prikaz prve stranice dokumenta Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja
Access restricted to students and staff of home institution
master's thesis
Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja
2017. urn:nbn:hr:145:222454
Bujak, Donata
Josip Juraj Strossmayer University of Osijek
Faculty of Economics in Osijek
Chair of Quantitative Methods and Informatics

Cite this document

Bujak, D. (2017). Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:222454

Bujak, Donata. "Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:145:222454

Bujak, Donata. "Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:145:222454

Bujak, D. (2017). 'Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, accessed 01 April 2023, https://urn.nsk.hr/urn:nbn:hr:145:222454

Bujak D. Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek; 2017 [cited 2023 April 01] Available at: https://urn.nsk.hr/urn:nbn:hr:145:222454

D. Bujak, "Klasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:145:222454

Please login to the repository to save this object to your list.
Metadata
TitleKlasifikacija potrošača prema prihodu s pomoću neuronskih mreža i stabala odlučivanja
Title (english)CONSUMERS CLASSIFICATION ACCORDING INCOME BY USING NEURAL NETWORKS AND DECISION TREES
AuthorDonata Bujak
MentorMarijana Zekić Sušac (mentor)
Committee memberMarijana Zekić Sušac (predsjednik povjerenstva)
Committee memberAleksandar Erceg (član povjerenstva)
Committee memberJulia Perić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics in Osijek
(Chair of Quantitative Methods and Informatics)
Osijek
Defense date and country2017-06-14, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Rad se bavi kreiranjem i analizom modela neuronskih mreža i stabala odlučivanja u svrhu klasifikacije potrošača prema prihodu. Ulazne varijable na kojima je model kreiran su: starost, vrsta zaposlenja, stupanj obrazovanja, broj godina obrazovanja, bračni status, zanimanje, status veze, rasa, spol, prihod kapitala, gubitak kapitala, broj radnih sati u tjednu te zemlji porijekla. Izlazna varijabla kreiranog modela je godišnji prihod. U radu je napravljena usporedba uspješnosti modela neuronske mreže i modela stabla odlučivanja. Kreirane modele, uz dodatno treniranje na novijim podacima moguće je koristiti za planiranje marketinških strategija pri izradi promocijskih aktivnosti različitim skupinama potrošača sukladno njihovom prihodu.
Abstract (english)
The Graduate paper deals with the creation and analysis of neural networks and decision trees in order to classify customers. The input variables on which model was created are: age, workclass, education, years of education, marital status, occupation, relationship, race, gender, capital gain, capital loss, hours per week, native country. The output variable on created model is income. Comparison of the performance was made in the neural network model and decision tree model. Created models, with additional training on newer data, can be used to plan marketing strategies when developing promotional activities for different consumer groups according to their income.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:222454
Study programmeTitle: Business economy; specializations in: Business Informatics
Course: Business Informatics
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra ekonomije (Magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-06-21 11:50:31