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dc.contributor.authorHtut, Phu Mon
dc.description.abstractIn universities, the professors and staffs are assigned to the respective faculties. Furthermore, within a faculty itself, the faculty members are assigned to specialized departments. Traditionally, the grouping of faculty members to various departments is decided by Human Resource Department by considering various aspects such as the fields, research and projects that the faculty members had worked on as well as their experiences and interest. Over the past years, data mining technologies have gained popularity as precious knowledge and patterns can be discovered from data by applying the data mining techniques on data. Inspired by the data mining and knowledge discovery systems, the project aims to explore the use of the data mining techniques on the data related to faculty members to make the process of grouping the faculty members more efficient. Specifically, the project builds a system that will analyze the papers written by the faculty members to get data about them and use the clustering algorithms to amass the faculty members with similar interests into groups.en_US
dc.format.extent57 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information systems applicationsen_US
dc.titleHigh performance data processing systems in cloud (Part 3)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorHe Bingshengen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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