Digital Repository

Browsing Smart Computing and Systems Engineering - 2018 (SCSE 2018) by Subject "Data mining"

Browsing Smart Computing and Systems Engineering - 2018 (SCSE 2018) by Subject "Data mining"

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  • Ifthikar, A.; Hettiarachchi, S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Road traffic accidents causes great distress and destroy the lives of many individuals. Inspite of different attempts to solve this problem, it still resides as a major cause of death. This paper proposes a system to analyse ...
  • Senanayake, J.M.D.; Wijayanayake, J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction ...
  • Brahmana, A.; Kumara, B.T.G.S.; Liyanage, A.L.C.J. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    Examinations play a major role in the teaching, learning and assessment process. Questions are used to obtain information and assess knowledge and competence of students. Academics who are involved in teaching process in ...
  • Jayaneththi, J.K.D.B.G.; Kumara, B.T.G.S. (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    The focus in local universities over the last decade, have shifted from teaching at undergraduate and postgraduate levels to conducting research and publishing in reputed local and international journals. Such publications ...
  • Banujan, K.; Kumara, B.T.G.S.; Incheon Paik (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018)
    A natural disaster is a natural event which can cause damage to both lives and properties. Social media are capable of sharing information on a real-time basis. Post disaster management can be improved to a great extent ...

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