Browsing by Subject "Machine learning"

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  • DEVELOPMENT OF A PREDICTION MODEL IN IDENTIFYING THE CHURNERS AND NON-CHURNERS 
    Prasanth, S; Rathnayake, R.M.K.T (Sabaragamuwa University of Sri Lanka, 2019-11-14)
    Customers play a vital role in the overall function of the telecommunication industry. So, it is important for any industry to prevent the tendency of churning of the customers from an organization. In order to do so, ...
  • IMPROVED MACHINE LEARNING APPROACH FOR SENTIMENT POLARITY ESTIMATION FOR OPINION MINING 
    Hettikankanama, H.K.S.K; Vasanthapriyan, S; Rathnayake, R.M.K.T (Sabaragamuwa University of Sri Lanka, 2019-11-14)
    Opinions of others may be essential in making decisions or selecting from variety of alternatives. Review of customer feedback helps to improve sales and eventually benefits the company. Goal of this study is to compare ...
  • IOT-BASED INTELLIGENT DOMESTIC WATER MANAGEMENT SYSTEM 
    Herath, H.M.M.I.S.B; Dinalankara, D.M.R; Wijenayake, U.K (Sabaragamuwa University of Sri Lanka, 2019-11-14)
    Conservation of water has become an essential in the current world due to the swelling stress on the world’s total consumable water, which has been affected by the inexorable rise in the usage and other multiple factors. ...
  • Use of Random Forest Classifier to Identify Counterfeited ECommerce Listings 
    Gunawardhana, H.M.K.T.; Kumara, B.T.G.S.; Rathnayaka, R.M.K.T.; Jayaweera, P.M. (Sabaragamuwa University of Sri Lanka, 2022-12-06)
    Online counterfeiting has become a significant threat to the e-commerce industry recently. It is becoming difficult to take countermeasures as the methods, tactics, and approaches of counterfeiting are evolving, and it ...