Digital Repository

Browsing by Subject "Data Mining"

Browsing by Subject "Data Mining"

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  • Rathnadiwakara, A.S.K.; Liyanage, S.R. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka, 2016)
    Nowadays predictive analysis is more popular among companies to improve their business profits. Those companies differentiate what they do from “Data Mining”. The characteristic deduction is that data mining is limited to ...
  • Balachandran, L.; Kirupananda, A. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Demand for formal higher education programs among the younger generation in Sri Lanka, has grown over the past decade. The demand growth has fueled the opening up of many local and internationally affiliated institutes ...
  • Menike, R. M. S. D.; Jayalal, S. G. V. S.; Algiriyage, N. (Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka, 2018)
    Diabetes mellitus is in third place in the index of 20 major diseases affecting deaths in Sri Lanka. Diagnosis of diabetes is a key and insipid task. A successful, easy and correct method has not been identified to identify ...
  • Kasthuriarachchi, K.T.S.; Bhatt, C.M.; Liyanage, S.R. (Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016)
    Data mining is a computer based information system which is devoted to scanning huge data repositories, generate information and discover knowledge. It attempts to uncover data patterns, organize information of hidden ...
  • Rathnadiwakara, A.S.K.; Liyanage, S.R. (Faculty of Graduate Studies, University of Kelaniya, 2015)
    Nowadays most business fields using many strategies to improve business profits. Most of them used traditional methods. Therefore, those company‘s efficiency and profit goes to the critical situation. So the improve ...
  • Thisara, E.B.; Wijegunasekara, M.C. (Faculty of Graduate Studies, University of Kelaniya, 2015)
    Most of the modern financial companies offer loans to customers in order to build up their own business. Such companies have a major problem when they recover the loan as the customers do not pay the installments according ...

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