Naslov
The impact of threshold parameters in transactional data analysis

Autori
Vranić, Mihaela ; Pintar, Damir ; Banek, Marko

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

Izvornik
Proceedings of the the 35th International ICT Convention – MIPRO 2012 / Biljanović, Petar - Rijeka, 2012, 1959-1964

ISBN
978-953-233-069-4

Skup
35th International ICT Convention – MIPRO 2012

Mjesto i datum
Opatija, Hrvatska, 21.05.2012. - 25.05.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Transactional data; association rules; support; confidence; threshold parameters; closed frequent itemsets

Sažetak
Today’s information systems store large quantities of transactional data which may contain valuable but hidden information. Association rules generation is a method developed for analysis of this type of data. This method is however very resource-intensive. Both the execution time and the final model highly depend on threshold parameters set by the analysts. In this paper we analyze the impact of the minimal support parameter on the number of closed frequent itemsets discovered for various datasets. The analysis is conducted on referential datasets as well as real-life datasets which classify transactional elements in categories organized in hierarchical manner. Datasets that are not originally transactional can be transformed into a transactional form. They exhibit somewhat different relations between the minimal support parameter and the number of discovered closed frequent itemsets. Findings presented in this paper can serve as guidance in setting up support as the most important parameter affecting the final execution time. In order to analyze data characteristics from another perspective, we also present how varying confidence, lift and support can affect the number of formed association rules containing two elements.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA