Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/62621
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHtut, Phu Mon
dc.date.accessioned2015-04-24T02:43:49Z
dc.date.available2015-04-24T02:43:49Z
dc.date.copyright2015en_US
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/10356/62621
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.language.isoenen_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
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
fypphu.pdf
  Restricted Access
FYP Report1.79 MBAdobe PDFView/Open

Page view(s)

348
Updated on Jul 15, 2024

Download(s) 50

26
Updated on Jul 15, 2024

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.