Pregled bibliografske jedinice broj: 805382
Improving Quality of Public Services: Data Mining Approach
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: Fakulteta za komercialne in poslovne vede, Celje, 2015. str. 167-173 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 805382 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 : 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
