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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.identifier.citation **** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19577
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.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
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2009 en_US
dc.identifier.conference CS & ES Conference 2009 en_US
dc.identifier.place Colombo, Sri Lanka en_US
dc.identifier.pgnos pp. 125-131 en_US
dc.identifier.proceeding Proceedings of the CS & ES Conference 2009 en_US


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