Open AccessImplementation of Chaid Algorithm
Author(s) -
Celal Hakan Kağnıcıoğlu,
Müne Mogol
Publication year - 2014
Publication title -
international journal of research in business and social science
Language(s) - English
Resource type - Journals
ISSN - 2147-4478
DOI - 10.20525/ijrbs.v3i4.116
Subject(s) - chaid , relation (database) , computer science , process (computing) , order (exchange) , hospitality , data mining , big data , data science , algorithm , decision tree , tourism , business , geography , finance , archaeology , operating system
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.