Using Data Mining in Analysing Local Tourism Patterns

Data Mining is a growing discipline in data analysis, linking data management with statistical methods. Discovering new patterns or assuring behaviour that has been observed over the years is a central information for a company or an organisation. This is especially true for the field of tourism, where great volumes of data are collected, but not often analysed in depth. The paper presents an application of several techniques used in the field of Data Mining on the “Tux-database” of the tourism resort Tux in Tyrol, Austria. This database is based on the entities of the registration sheets in this tourism resort. Times series models of seasonal decomposition as well as simple descriptive procedures were used to detect primary pattern. In a second step explorative multivariate statistical techniques such as clustering, log-linear models and decision trees were applied to underline the primary results and to discover new ones.