Implementation of Chaid Algorithm: A Hotel Case

• Main Authors: Celal Hakan Kagnicioglu, Müne Mogol
• Format: Article
• Language: English
• Published: Ümit Hacıoğlu 2016-01-01
• Series: International Journal of Research In Business and Social Science
• Subjects: Data Mining; CHAID; Tourism; Hotel
• Online Access: http://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/116

Today, companies are planning their own activities depending on efficiency and effectiveness. In order to have plans for the future activities they need historical data coming from outside and inside of the companies. However, this data is in huge amounts to understand easily. Since, this huge amount of data creates complexity in business for many industries like hospitality industry, reliable, accurate and fast access to this data is to be one of the greatest problems. Besides, management of this data is another big problem. In order to analyze this huge amount of data, Data Mining (DM) tools, can be used effectively. In this study, after giving brief definition about fundamentals of data mining, Chi Squared Automatic Interaction Detection (CHAID) algorithm, one of the mostly used DM tool, will be introduced. By CHAID algorithm, the most used materials in room cleaning process and the relations of these materials based on in a five star hotel data are tried to be determined. At the end of the analysis, it is seen that while some variables have strong relation with the number of rooms cleaned in the hotel, the others have no or weak relation.