Pregled bibliografske jedinice broj: 487948
Generation and Analysis of Tree Structures Based on Association Rules and Hierarchical Clustering
Generation and Analysis of Tree Structures Based on Association Rules and Hierarchical Clustering // Proceedings of The Fifth International Multi-conference on Computing in the Global Information Technology - ICCGI 2010 / Guerrero, Juan E. (ur.).
Valencia, Španjolska: Institute of Electrical and Electronics Engineers (IEEE), 2010. str. 48-53 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 487948 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Generation and Analysis of Tree Structures Based on Association Rules and Hierarchical Clustering
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 Fifth International Multi-conference on Computing in the Global Information Technology - ICCGI 2010
/ Guerrero, Juan E. - : Institute of Electrical and Electronics Engineers (IEEE), 2010, 48-53
ISBN
978-0-7695-4181-5
Skup
Fifth International Multi-conference on Computing in the Global Information Technology
Mjesto i datum
Valencia, Španjolska, 20.09.2010. - 25.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Tree structures; Association Rules; Hierarchical Clustering
Sažetak
Detailed inspection of transactional data can reveal various useful information, in which of special importance are relationships between transaction elements. Hierarchical clustering coupled with specific distance measures reveal those relationships from one angle. Additionally, association rules - a natural method of inspecting transactional data – is able to reveal relationships between each pair of transaction elements. With transactional data modulation and multiple usages of this method a tree-like structure can be created. This paper concerns the interpretation of resulting structures for each method as well as providing comparison between them. For each algorithm mathematical base is introduced along with an explanation of result interpretation. Performances of two methods are compared and examined on a real life data set.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0362027-1638 - Umrežena ekonomija (Skočir, Zoran, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb