Gaining insights to the tea industry of Sri Lanka using data mining

Title: Gaining insights to the tea industry of Sri Lanka using data mining
Creator: Fernando, H. C.; Tissera, W. M. R.; Athauda, R. I.
Relation: International MultiConference of Engineers and Computer Scientists 2008 (IMECS 2008). Proceedings of the International MultiConference of Engineers and Computer Scientists 2008 (IMECS 2008) (Kowloon, Hong Kong 19-21 March, 2008) p. 462-467
Relation: http://www.iaeng.org/IMECS2008
Publisher: Newswood / International Association of Engineers
Resource Type: conference paper
Date: 2008
Description: This paper describes an application of data mining techniques to study certain aspects of tea industry in Sri Lanka using different types of data available. This study showed that exports and production continuously increase with time. It further revealed how production vary with the three elevations they are grown, namely, High, Low and Mid. Time series analysis produced ART(p) models for production and price. The study resulted in significant insights and knowledge about the tea industry which contributes significantly to the Sri Lankan economy.
Subject: data mining; cluster analysis; time series analysis; tea industry; Sri Lanka
Identifier: http://hdl.handle.net/1959.13/45012
Identifier: uon:5957
Identifier: ISBN:9789889867188
Language: eng
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