Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70392
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSharma, Dhruv
dc.date.accessioned2017-04-24T01:23:10Z
dc.date.available2017-04-24T01:23:10Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/70392
dc.description.abstractThis project aims to explore the possibilities of one of the most state of the art problem in Data Mining which is Authorship Attribution. In this research, we use word networks to create graphs of different texts by multiple authors. Then the comparison happens in these word networks to see various attributes associated with authorship attribution and how similar or different they are for texts from same authors for example. The project aims to use this data to evaluate the suitability of word networks as an appropriate data structure for this problem and if it is, then find suitable algorithms for this problem.en_US
dc.format.extent10 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleData mining - project Ien_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorArijit Khanen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FinalYearProject.pdf
  Restricted Access
692.24 kBAdobe PDFView/Open

Page view(s)

259
Updated on Jul 25, 2021

Download(s) 50

99
Updated on Jul 25, 2021

Google ScholarTM

Check

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