Review on State of The Art Data Mining Techniques for an Intelligent Airport System

Abstract

The prime objective of all the stakeholders at an airport should be able to cater to the passenger satisfaction by being attractive and resilient 24 x 7 in the demanding service while ensuring cost effectiveness. In order to achieve this cause, many airports have implemented isolated solutions in improving passenger services. While these solutions may improve specific processes or functions they are not holistic enough. Passengers will feel the limits and differences most if some specific functions meet their expectations while others not. So the need of the hour is to create a unified, integrated and ready to use platform to assist airports to provide better services for the passengers. The aim of this paper is to review selected data mining techniques that can be integrated into such a system. Entities such as airlines, airport retails sector and the airport itself is considered for this cause and the data mining techniques that can be applied to these entities to improve passenger services such as passenger profiling, segmentation, association rule mining and flight delay prediction are discussed.

2016
Chamath Malinda Ariyawansa

Department of Computing Informatics Institute of Technology University of Westminster Colombo, Sri Lanka. chamathariyawansa@gmail.com

Achala Chathuranga Aponso

Department of Computing Informatics Institute of Technology University of Westminster Colombo, Sri Lanka. ach.chathuranga@gmail.com