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Relationships between Distance Measures Adopted for Transactional Data Analysis


Vranić, Mihaela; Pintar, Damir; Skočir, Zoran
Relationships between Distance Measures Adopted for Transactional Data Analysis // Proceedings of the 12th International Conference on Telecommunications / Pripužić, Krešimir ; Banek, Marko (ur.).
Zagreb: University of Zagreb, 2013. str. 25-30 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Relationships between Distance Measures Adopted for Transactional Data Analysis

Autori
Vranić, Mihaela ; Pintar, Damir ; Skočir, Zoran

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

Izvornik
Proceedings of the 12th International Conference on Telecommunications / Pripužić, Krešimir ; Banek, Marko - Zagreb : University of Zagreb, 2013, 25-30

ISBN
978-953-184-175-7

Skup
12th International Conference on Telecommunications

Mjesto i datum
Zagreb, Hrvatska, 26.-28.06.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Transactional data; hierarchical clustering; distance measures; relationships between distance measures; artificial data

Sažetak
Transactional data is today’s great resource of information. Unsummarized form of this type of data can reveal interesting relationships between elements of transactions. Hierarchical clustering coupled with usage of appropriate measures can reveal various aspects of these relationships. The choice of measure is a key component for getting useful analysis results. In this paper we present the continuation of our research dealing with these measures by analyzing relationships between them, better understanding of which is a great asset for analysts using them in their transactional data analysis.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
036-0362027-1638 - Umrežena ekonomija (Zoran Skočir, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb