Evaluation and Classification of Indian Railways Catering and Tourism Corporation Tourism Package using Neural Network

This research paper attempts to classify and evaluate Indian Railway Catering and Tourism Corporation tourist train package tour using data mining tools. The primary data were collected from various locations of passengers in southern Indian states like Tamil Nadu, Kerala, Andhra Pradesh, Karnataka and Telangana. The total of 600 samples was collected using simple random sample. By applying data mining filtering method (normalise), few cases were discarded as outliers and the remaining 540 samples were retained for further analysis. The passengers include kids, teenagers, middle aged and senior citizens. The questionnaire is based on six socio-economic parameters and fourteen parameters related to passengers comfort during train journey, tourist guide, cleanliness, accommodation and others. The 14 parameters are constructed on a five-point scale. The services are classified into five categories and are labelled as very good, good, normal, poor and very poor of services from various categories. The main objectives of this research paper are as follows: (i) to identify and classify the package tours parameters and (ii) to visualise the overall classification of parameters using neural network techniques of LVQ1 (Learning Vector Quantization 1), LVQ2 and LVQ3 algorithm with the help of Waikato Environment for Knowledge Analysis data mining software.