Prophetia: artificial intelligence for travelbox technology
dc.contributor.author | Geethal, BBA | |
dc.contributor.author | Gunasekara, RC | |
dc.contributor.author | Hassan, M | |
dc.contributor.author | Mathew, CDT | |
dc.contributor.author | Perera, AS | |
dc.contributor.author | Subasinghe, H | |
dc.contributor.author | Welikala, Y | |
dc.contributor.author | Wimalasena, L | |
dc.contributor.editor | Nanayakkara, V | |
dc.contributor.editor | Gunasinghe, UP | |
dc.date.accessioned | 2022-11-22T08:54:09Z | |
dc.date.available | 2022-11-22T08:54:09Z | |
dc.date.issued | 2009-07 | |
dc.description.abstract | In today’s fiercely competitive and dynamic market scenario, business enterprises are facing many problems due to the increasing complexity and latency of the decision making process. In addition, the amount of data to be analyzed has increased substantially. This has resulted in AI stepping in to assist decision makers to make better business decisions, reduce latency and enhance revenue opportunities. Prophetia, is a research project carried out to integrate Artificial Intelligence capabilities into TravelBox® technology - a range of solutions developed by CodeGen. IT for tour operators. This research paper discusses three main areas that were researched on for the above purpose. These are Probability Prediction - the of Feed Forward Neural Networks for calculating the probability of selling a particular vacation package, Package Recognition - the use of Self Organizing Maps for recognizing patterns in past vacation package records, and Customer Interest Prediction - the use of association rule mining for determining the influence of customer characteristics on the vacation destination. | en_US |
dc.identifier.citation | **** | en_US |
dc.identifier.conference | CS & ES Conference 2009 | en_US |
dc.identifier.department | Department of Computer Science and Engineering | en_US |
dc.identifier.faculty | Engineering | en_US |
dc.identifier.pgnos | pp. 125-131 | en_US |
dc.identifier.place | Colombo, Sri Lanka | en_US |
dc.identifier.proceeding | Proceedings of the CS & ES Conference 2009 | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/19577 | |
dc.identifier.year | 2009 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Self organizing maps | en_US |
dc.subject | Data mining | en_US |
dc.title | Prophetia: artificial intelligence for travelbox technology | en_US |
dc.type | Conference-Full-text | en_US |