Sonali is an Information Systems major. She will present her research, "An Analysis of Where a New Guest Would Book their First Travel Experience" at Virtual URCAD 2020!

Co-presenters: Harveer Kaur and Muhsina Helal

Abstract:
Machine learning, data mining algorithms and data analytics were discussed, researched and implemented. In a collaboration of a team of 5, data analytics were performed on datasets from Kaggle through utilizing data mining tools such as Weka and Rapidminer in order to gain insight into where a new guest would book their first travel experience.  A supervised learning approach along with decision trees, random forest classifiers and the ROC curve were utilized on the Airbnb data provided by Kaggle in our project. Data pre-processing, data collection, and data evaluation on the various datasets provided by Kaggle were implemented. After conducting the data mining algorithms using Weka and Rapidminer, the Random Forest Classifier and Decision Tree algorithm provides the most accurate results. Age, language, month of the first booking and gender were the major features that gave the most insight and analytics into where a new guest will book their first trip. Overall, data mining methods and algorithms proved to determine where a new guest will book their first travel experience for Airbnb guests.

Mentor: James Foulds

Come see Sonali's poster, and other undergraduate research and creative work, April 22-29th at URCAD.umbc.edu!