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A Case Study On Customizing The Microsoft Time Series Algorithm: Tourist Arrival Prediction
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2018 (English)In: Proceedings: 1st International Conference on Business Innovation, 2018Conference paper, Published paper (Refereed)
Abstract [en]

As far as tourism is concerned in Sri Lanka, it is considered as one of a lucrative industry for the country. On the other hand, in the modern computing era business intelligence plays a revolutionary role in uplifting the profits of business organizations. The research is about how the Microsoft Time Series algorithm can be improvised to predict the arrival of tourists. The algorithm employed for the tourists who arrived for Sri Lanka in past few decades. Furthermore, this study discusses the drawbacks of the existing Microsoft Time series algorithm concerning the consideration of the external factors which affects the prediction. Also, this study discusses some of the possible solutions to overcome that issue.

Place, publisher, year, edition, pages
2018.
Keywords [en]
business intelligence, tourism, tourist arrival prediction, Microsoft time series algorithm
National Category
Software Engineering
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-179915OAI: oai:DiVA.org:su-179915DiVA, id: diva2:1414618
Conference
1st International Conference on Business Innovation (ICOBI), Homagama, Sri Lanka, 25th August, 2018
Available from: 2020-03-13 Created: 2020-03-13 Last updated: 2020-03-16Bibliographically approved

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Weerasekara, Manoja Kumari
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