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Pregled bibliografske jedinice broj: 823633

What makes classification trees comprehensible?

Piltaver, Rok; Luštrek, Mitja; Gams, Matjaž; Martinčić-Ipšić, Sanda
What makes classification trees comprehensible? // Expert systems with applications, 62 (2016), 333-346 doi:10.1016/j.eswa.2016.06.009 (međunarodna recenzija, članak, znanstveni)

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Naslov
What makes classification trees comprehensible?

Autori
Piltaver, Rok ; Luštrek, Mitja ; Gams, Matjaž ; Martinčić-Ipšić, Sanda

Izvornik
Expert systems with applications (0957-4174) 62 (2016); 333-346

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

Ključne riječi
Classification tree ; comprehensibility ; understandability ; interpretability ; end-user survey

Sažetak
Classification tree, comprehensibility, understandability, interpretability, end-user survey

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka

Profili:

Avatar Url Sanda Martinčić - Ipšić (autor)

Poveznice na cjeloviti tekst rada:

doi wwhttp

Citiraj ovu publikaciju:

Piltaver, Rok; Luštrek, Mitja; Gams, Matjaž; Martinčić-Ipšić, Sanda
What makes classification trees comprehensible? // Expert systems with applications, 62 (2016), 333-346 doi:10.1016/j.eswa.2016.06.009 (međunarodna recenzija, članak, znanstveni)
Piltaver, R., Luštrek, M., Gams, M. & Martinčić-Ipšić, S. (2016) What makes classification trees comprehensible?. Expert systems with applications, 62, 333-346 doi:10.1016/j.eswa.2016.06.009.
@article{article, author = {Piltaver, Rok and Lu\v{s}trek, Mitja and Gams, Matja\v{z} and Martin\v{c}i\'{c}-Ip\v{s}i\'{c}, Sanda}, year = {2016}, pages = {333-346}, DOI = {10.1016/j.eswa.2016.06.009}, keywords = {Classification tree, comprehensibility, understandability, interpretability, end-user survey}, journal = {Expert systems with applications}, doi = {10.1016/j.eswa.2016.06.009}, volume = {62}, issn = {0957-4174}, title = {What makes classification trees comprehensible?}, keyword = {Classification tree, comprehensibility, understandability, interpretability, end-user survey} }
@article{article, author = {Piltaver, Rok and Lu\v{s}trek, Mitja and Gams, Matja\v{z} and Martin\v{c}i\'{c}-Ip\v{s}i\'{c}, Sanda}, year = {2016}, pages = {333-346}, DOI = {10.1016/j.eswa.2016.06.009}, keywords = {Classification tree, comprehensibility, understandability, interpretability, end-user survey}, journal = {Expert systems with applications}, doi = {10.1016/j.eswa.2016.06.009}, volume = {62}, issn = {0957-4174}, title = {What makes classification trees comprehensible?}, keyword = {Classification tree, comprehensibility, understandability, interpretability, end-user survey} }

Časopis indeksira:


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

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