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Pregled bibliografske jedinice broj: 805382

Improving Quality of Public Services: Data Mining Approach


Meršnik, Mateja; Zoroja, Jovana
Improving Quality of Public Services: Data Mining Approach // 6th International Scientific Conference: Knowledge and Business Challenge of Globalisation in 2015 / Merkač Skok, Marjana ; Cingula, Marijan (ur.).
Celje, Slovenia: Fakulteta za komercialne in poslovne vede, Celje, 2015. str. 167-173 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Improving Quality of Public Services: Data Mining Approach

Autori
Meršnik, Mateja ; Zoroja, Jovana

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

Izvornik
6th International Scientific Conference: Knowledge and Business Challenge of Globalisation in 2015 / Merkač Skok, Marjana ; Cingula, Marijan - Celje, Slovenia : Fakulteta za komercialne in poslovne vede, Celje, 2015, 167-173

ISBN
978-961-6825-99-3

Skup
Knowledge and Business Challenge of Globalisation in 2015

Mjesto i datum
Celje, Slovenija, 20.11.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
public services; nursery; data mining; decision trees; J48 algorithm

Sažetak
Nowadays, huge amount of data are available in numerous organizational databases. In order to use them and get valuable information different techniques could be used. Data mining approach presents a valuable tool for transforming data into knowledge. There is wide range of data mining application and usage in different areas, e.g. marketing, financial fraud, health care management, scientific discovery. In addition, many public organizations collect and analyze data regarding individuals, households and business in order to increase efficiency of different public services. Therefore, data mining could be useful in improving quality of public services. In number of countries, families with children have a problem in finding a nursery place, because capacities are limited and there are not enough places for all children. Goal of this paper is to demonstrate the usage of data mining in investigate which factors influence on getting a nursery place. In order to full-fill the goal, we utilized nursery data set available on UCI Machine Learning Repository which contains 12960 instances and 9 attributes. We conducted decision tree analysis, using J48 algorithm available as part of Weka data mining tool. The results showed that there were 89.213% correctly classified instances, which indicates a high potential of data mining algorithms for improving quality of public services in the area of nursery.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Jovana Zoroja (autor)

Citiraj ovu publikaciju

Meršnik, Mateja; Zoroja, Jovana
Improving Quality of Public Services: Data Mining Approach // 6th International Scientific Conference: Knowledge and Business Challenge of Globalisation in 2015 / Merkač Skok, Marjana ; Cingula, Marijan (ur.).
Celje, Slovenia: Fakulteta za komercialne in poslovne vede, Celje, 2015. str. 167-173 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Meršnik, M. & Zoroja, J. (2015) Improving Quality of Public Services: Data Mining Approach. U: Merkač Skok, M. & Cingula, M. (ur.)6th International Scientific Conference: Knowledge and Business Challenge of Globalisation in 2015.
@article{article, year = {2015}, pages = {167-173}, keywords = {public services, nursery, data mining, decision trees, J48 algorithm}, isbn = {978-961-6825-99-3}, title = {Improving Quality of Public Services: Data Mining Approach}, keyword = {public services, nursery, data mining, decision trees, J48 algorithm}, publisher = {Fakulteta za komercialne in poslovne vede, Celje}, publisherplace = {Celje, Slovenija} }




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