Prophetia: artificial intelligence for travelbox technology

dc.contributor.authorGeethal, BBA
dc.contributor.authorGunasekara, RC
dc.contributor.authorHassan, M
dc.contributor.authorMathew, CDT
dc.contributor.authorPerera, AS
dc.contributor.authorSubasinghe, H
dc.contributor.authorWelikala, Y
dc.contributor.authorWimalasena, L
dc.contributor.editorNanayakkara, V
dc.contributor.editorGunasinghe, UP
dc.date.accessioned2022-11-22T08:54:09Z
dc.date.available2022-11-22T08:54:09Z
dc.date.issued2009-07
dc.description.abstractIn 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.conferenceCS & ES Conference 2009en_US
dc.identifier.departmentDepartment of Computer Science and Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 125-131en_US
dc.identifier.placeColombo, Sri Lankaen_US
dc.identifier.proceedingProceedings of the CS & ES Conference 2009en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/19577
dc.identifier.year2009en_US
dc.language.isoenen_US
dc.publisherComputer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa.en_US
dc.subjectNeural networksen_US
dc.subjectSelf organizing mapsen_US
dc.subjectData miningen_US
dc.titleProphetia: artificial intelligence for travelbox technologyen_US
dc.typeConference-Full-texten_US

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