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Browsing by Subject "Data mining"

Browsing by Subject "Data mining"

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  • Analysing mobility patterns of people to determine the best transportation method 
    Senanayake, J.M.D.; Wijayanayake, W.M.J.I. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    With the technological enhancements related to Internet, Wireless Communication, Big Data Analytics, Sensor-based Data, and Machine Learning; new paradigms are enabled for processing large amount of data which are collected ...
  • Analysis of historical accident data to determine accident prone locations and cause of accidents 
    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 ...
  • Analysis of Road Traffic Accidents Using Data Mining 
    Liyanaarachchi, K.L.P.P.; Charles, E.Y.A. (Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2017)
    Accident happens unexpectedly and unintentionally, typically resulting in damage or injury or in fatalities. Data mining is the extraction of implicit, previously unknown, and potentially useful information from data ...
  • Applicability of crowdsourcing for traffic-less travelling in Sri Lankan context 
    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 ...
  • Data Mining Approach for Identifying Suitable Sport for Beginners 
    Amarasena, P.T.; Kumara, B. T. G. S.; Jointion, S. (IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019)
    Anthropometric measurements are generally used to determine and predict achievement in different sports. An athlete’s anthropometric and physical characteristics may perform important preconditions for successful ...
  • A data mining approach for the analysis of undergraduate examination question papers 
    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 ...
  • Data mining model for identifying high-quality journals 
    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 ...
  • EduMiner- An Automated Data Mining Tool for Intelligent Mining of Educational Data 
    Kasthuriarachchi, K.T.S.; Liyanage, S.R. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    Data mining is a computer based information system that is devoted to scan huge data repositories, generate information and discover knowledge. Data mining pursues to find out patterns in data, organize information of ...
  • Introducing Novel Classification Methodology to Detect Kidney Disease Patterns in Sri Lanka 
    Chathurangi, K.A.A.; Kapila, R.M.; Rathnayaka, T. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    The healthcare sector has vast amount of medical data which are not properly analyzed and mined to discover useful information and interesting patterns. Applying data mining techniques on such domain can help medical ...
  • Mobile Telecommunication Customers Churn Prediction Model 
    Chathuranga, L. L. G.; Rathnayaka, R.M.T.B.; Arumawadu, H.I. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    The present Sri Lankan mobile industry is extremely dynamic, with new services, technologies, and carriers constantly altering the landscape. Then customers have more choices. So, Predict customer churn is one of the most ...
  • Natural language processing framework: WordNet based sentimental analyzer 
    Jayakody, J.R.K.C. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    Sentimental analysis is a technique which is used to classify different types of documents as positive, negative or neutral. Hand written form, mails, telephone surveys or online feedback forms are used to get customer ...
  • Predicting landslides in hill country of Sri Lanka using data mining techniques 
    Karunanayake, K.B.A.A.M.; Wijayanayake, W.M.J.I. (Faculty of Science, University of Kelaniya, Sri Lanka, 2016)
    A landslide is the movement of rock, debris or earth down a slope. They result from the failure of the materials which make up the hill slope and are driven by the force of gravity. When it refers to Sri Lankan context ...
  • Social media mining for post-disaster management - A case study on Twitter and news 
    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 ...
  • Worldwide research productivity in the field of Data Mining from 2010 to 2015: a bibliometric analysis 
    Balasubramani, R.; Kohila, G.T.; Elavazhagan (Department of Library and Information Science, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016)
    The main objective of this study is to analyze the growth of the research in the category Data Mining, a subject that has arisen over the last few decades. The study also aims to compare scientific production in the field ...

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