SIMILARITY DETECTION USING WINNOWING AND CLUSTERING

Setiawan, Dani (2017) SIMILARITY DETECTION USING WINNOWING AND CLUSTERING. Other thesis, Unika Soegijapranata.

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12.02.0014 Dani Setiawan COVER.pdf

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12.02.0014 Dani Setiawan BAB I.pdf

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Abstract

Everyone has ideas. the idea can be different or the same idea.It is caused by the same source because nor purely because of the accident. same idea that is causing the occurrence of similarities which often happens among the world education especially among universities. The resemblance of happens in universities has been very often URterjadi.hal of such a problem in University. lack of time teachers in analyzing were one of the factors the University can not detect similarities. To that end,the author will make the program author similarity detection can group expressions based on the value of each sentence

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 05 Dec 2017 08:02
Last Modified: 05 Dec 2017 08:02
URI: http://repository.unika.ac.id/id/eprint/15337

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