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 |