the label attribute) and a series of other changing variables known as independent variables. It is a statistical measure that attempts to determine the strength of the relationship between one dependent variable ( i.e. attribute naming mode (selection) This parameter determines which SPSS variable prop- erties should be used for naming the attributes. As outcome, the implementation of four case studies using RapidMiner tool is presented: 1) reservation cancellation detection based on classification 2) tourist number prediction with respect to number of COVID-19 cases leverag-ing regression 3) Cross-selling of additional services relying on association rule mining 4) segmentation of tourists regarding their spending and services using clustering. Local Polynomial Regression (RapidMiner Studio Core) Synopsis. ![]() In this paper, we examine how the commonly used data mining techniques can contribute to revival of tourism industry under current circumstances. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. Strict government measures, such as lockdown, public gathering and travel prohibition, together with temporary closure of hospitality objects have not only reduce the number of tourists dramatically, but also led to huge number of jobs lost. The regression model generated by the Linear Regression operator is applied on the last 100 examples of the Polynomial data set using the Apply Model operator. are to predict the output that can be either categorical or polynomial. However, its consequences caused disastrous losses when it comes to tourism. Random Forest and ID3 for analysing the aircraft data using RapidMiner tool. The ongoing coronavirus pandemic has huge impact on almost every industry sector.
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