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.
International MultiConference of Engineers and Computer Scientists: IMECS 2008, International MultiConference of Engineers and Computer Scientists 2008 (IMECS 2008). Proceedings (Hong Kong 19-21 March, 2008) p. 462-467