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Pregled bibliografske jedinice broj: 1005614

Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm


Vranić, Mihaela; Pintar, Damir; Škopljanac- Mačina, Frano
Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 26 (2019), 2; 331-338 doi:10.17559/tv-20171109130510 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1005614 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm

Autori
Vranić, Mihaela ; Pintar, Damir ; Škopljanac- Mačina, Frano

Izvornik
Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 26 (2019), 2; 331-338

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
association rules ; data mining ; dendrograms ; frequent itemsets ; minimal spanning tree ; transactional data ; visual representation

Sažetak
Descriptive data mining techniques offer a way of extracting useful information out of large datasets and presenting it in an interpretable fashion to be used as a basis for future decisions. Since users interpret information most easily through visual means, techniques which produce concise, visually attractive results are usually preferred. We define a method, which converts transactional data into tree-like data structures, which depict important relationships between items contained in this data. The new approach we propose is offering a way to mitigate the loss of information present in previously developed algorithms, which use mined frequent itemsets and construct tree structures. We transfer the problem to the domain of graph theory and through minimal spanning tree construction achieve more informative visualizations. We highlight the new approach with comparison to previous ones by applying it on a real-life datasets – one connected to market basket data and the other from the educational domain.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
HRZZ-UIP-2014-09-2051 - Uporaba metoda i otvorenih tehnologija dubinske analize podataka za unaprijeđenje infrastrukture elektroničkog učenja (eduMINE) (Pintar, Damir, HRZZ - 2014-09) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr

Citiraj ovu publikaciju:

Vranić, Mihaela; Pintar, Damir; Škopljanac- Mačina, Frano
Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 26 (2019), 2; 331-338 doi:10.17559/tv-20171109130510 (međunarodna recenzija, članak, znanstveni)
Vranić, M., Pintar, D. & Škopljanac- Mačina, F. (2019) Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm. Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 26 (2), 331-338 doi:10.17559/tv-20171109130510.
@article{article, author = {Vrani\'{c}, Mihaela and Pintar, Damir and \v{S}kopljanac- Ma\v{c}ina, Frano}, year = {2019}, pages = {331-338}, DOI = {10.17559/tv-20171109130510}, keywords = {association rules, data mining, dendrograms, frequent itemsets, minimal spanning tree, transactional data, visual representation}, journal = {Tehni\v{c}ki vjesnik : znanstveno-stru\v{c}ni \v{c}asopis tehni\v{c}kih fakulteta Sveu\v{c}ili\v{s}ta u Osijeku}, doi = {10.17559/tv-20171109130510}, volume = {26}, number = {2}, issn = {1330-3651}, title = {Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm}, keyword = {association rules, data mining, dendrograms, frequent itemsets, minimal spanning tree, transactional data, visual representation} }
@article{article, author = {Vrani\'{c}, Mihaela and Pintar, Damir and \v{S}kopljanac- Ma\v{c}ina, Frano}, year = {2019}, pages = {331-338}, DOI = {10.17559/tv-20171109130510}, keywords = {association rules, data mining, dendrograms, frequent itemsets, minimal spanning tree, transactional data, visual representation}, journal = {Tehni\v{c}ki vjesnik : znanstveno-stru\v{c}ni \v{c}asopis tehni\v{c}kih fakulteta Sveu\v{c}ili\v{s}ta u Osijeku}, doi = {10.17559/tv-20171109130510}, volume = {26}, number = {2}, issn = {1330-3651}, title = {Improved Visualization of Frequent Itemset Relationships Using the Minimal Spanning Tree Algorithm}, keyword = {association rules, data mining, dendrograms, frequent itemsets, minimal spanning tree, transactional data, visual representation} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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