THE SELECTION OF OPTIMAL DATA MINING METHOD FOR SMALL-SIZED HOTELS

Keywords:
Data mining, hospitality, occupancy rate.

Abstract:
Small-sized hotels that prevail in the tourist destination of Serbia rarely use any kind of property management or intelligence systems. The issue that pervades throughout this paper is related to the ways in which they can benefit from data mining. This paper discusses data mining practical application of making predictions of future monthly in-house nights for small hotels. Selected data mining algorithms have been analyzed and compared in order to choose the optimal method for application of this case study. An empirical application of methods demonstrates that it can generate reasonably accurate forecasts and can be useful to managers in their evaluation of the future occupancy rate. Furthermore, it considers which of the four algorithms is best suited for other applications in the hospitality industry.

CITATION:

IEEE format

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A. Njeguš, V. Nikolić, V. Jovanović, “THE SELECTION OF OPTIMAL DATA MINING METHOD FOR SMALL-SIZED HOTELS,” in Synthesis 2015 - International Scientific Conference of IT and Business-Related Research, Belgrade, Singidunum University, Serbia, 2015, pp. 519-524. doi:10.15308/Synthesis-2015-519-524

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Njeguš, A., Nikolić, V., Jovanović, V. (2015). THE SELECTION OF OPTIMAL DATA MINING METHOD FOR SMALL-SIZED HOTELS. Paper presented at Synthesis 2015 - International Scientific Conference of IT and Business-Related Research. doi:10.15308/Synthesis-2015-519-524

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