Pregled bibliografske jedinice broj: 648698
Data Mining Applications in Tourism: A Keyword Analysis
Data Mining Applications in Tourism: A Keyword Analysis // Proceedings of the 24th Central European Conference on Information and Intelligent Systems / Hunjak, Tihomir ; Lovrenčić, Sandra ; Tomičić, Igor (ur.).
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2013. str. 26-32 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 648698 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Data Mining Applications in Tourism: A Keyword Analysis
Autori
Pejić Bach, Mirjana ; Schatten, Markus ; Marušić, Zrinka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 24th Central European Conference on Information and Intelligent Systems
/ Hunjak, Tihomir ; Lovrenčić, Sandra ; Tomičić, Igor - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2013, 26-32
Skup
Central European Conference on Information and Intelligent Systems (24 ; 2013)
Mjesto i datum
Varaždin, Hrvatska, 18.09.2013. - 20.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
data mining; tourism; keywords; conceptual network; review
Sažetak
The paper reviews applications of data mining in academic papers dealing with tourism industry, both from demand and supply side. Web of science, SCOPUS, and in particular key tourism journals published in 1995 – 2013 period have been searched with the usage of appropriate keywords. Literature searches revealed 88 papers that present applications of data mining in tourism. Keyword and conceptual network analysis were conducted with the usage of Wordle and LaNet-vi tools. Papers from tourism related journals and ICT related journals were analysed separately. In order to detect historic trends, analysis was conducted separately for the two periods before 2005, and since 2006. The conclusion of the paper is that tourism steps on a path to evolve to being both people-driven and data-driven, thus utilizing data mining approach as leverage towards increased competitiveness and profitability.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
067-1521781-2485 - Inteligentni sustavi kontrolinga, financija i računovodstva digitalnog poduzeća (Peić-Bach, Mirjana, MZOS ) ( CroRIS)
126-0000000-3347 - Mjerenje važnosti utjecaja turizma na gospodarstvo Hrvatske (Čorak, Sanda, MZOS ) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin,
Ekonomski fakultet, Zagreb,
Institut za turizam, Zagreb
