Paragraph Selection Methods Using Feature-Based on Segment-Based Clustering Process Using Paragraphs for Identifying Topics on Indication Detection of Plagiarism System
| Main Authors: | Akbi, Denar Regata, Rosyadi, Arini Rahmawati |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Muhammadiyah Malang
, 2018
|
| Subjects: | |
| Online Access: |
http://kinetik.umm.ac.id/index.php/kinetik/article/view/593 http://kinetik.umm.ac.id/index.php/kinetik/article/view/593/pdf |
| ctrlnum |
article-593 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Paragraph Selection Methods Using Feature-Based on Segment-Based Clustering Process Using Paragraphs for Identifying Topics on Indication Detection of Plagiarism System</title><creator>Akbi, Denar Regata</creator><creator>Rosyadi, Arini Rahmawati</creator><subject lang="en-US">Networking; Data Mining</subject><subject lang="en-US">Feature-Based, Paragraphs Selection, Segment-Based, Silhouette Coefficient, Sum Square Errors</subject><description lang="en-US">In segment-based clustering, the paragraphs selection as a dataset in the clustering process has a very important role. This is because the paragraph used as the dataset can affect the clustering result. This research uses paragraph selection using feature-based method which aims to optimize the clustering process conducted in the previous research. Based on the evaluation results using Silhouette Coefficient and Sum Square Errors evaluation methods to find the proper k value, it is found that with the utilization of Feature-based method, better results can be acquire compared to the evaluation result from the previous research.</description><publisher lang="en-US">Universitas Muhammadiyah Malang</publisher><contributor lang="en-US"/><date>2018-04-16</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://kinetik.umm.ac.id/index.php/kinetik/article/view/593</identifier><identifier>10.22219/kinetik.v3i2.593</identifier><source lang="en-US">Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control; Vol 3, No 2, May-2018; 91-102</source><source>2503-2267</source><source>2503-2259</source><source>10.22219/kinetik.v3i2</source><language>eng</language><relation>http://kinetik.umm.ac.id/index.php/kinetik/article/view/593/pdf</relation><rights lang="en-US">Copyright (c) 2018 Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control</rights><rights lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</rights><recordID>article-593</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:eJournal |
| author |
Akbi, Denar Regata Rosyadi, Arini Rahmawati |
| title |
Paragraph Selection Methods Using Feature-Based on Segment-Based Clustering Process Using Paragraphs for Identifying Topics on Indication Detection of Plagiarism System |
| publisher |
Universitas Muhammadiyah Malang |
| publishDate |
2018 |
| topic |
Networking Data Mining Feature-Based Paragraphs Selection Segment-Based Silhouette Coefficient Sum Square Errors |
| url |
http://kinetik.umm.ac.id/index.php/kinetik/article/view/593 http://kinetik.umm.ac.id/index.php/kinetik/article/view/593/pdf |
| contents |
In segment-based clustering, the paragraphs selection as a dataset in the clustering process has a very important role. This is because the paragraph used as the dataset can affect the clustering result. This research uses paragraph selection using feature-based method which aims to optimize the clustering process conducted in the previous research. Based on the evaluation results using Silhouette Coefficient and Sum Square Errors evaluation methods to find the proper k value, it is found that with the utilization of Feature-based method, better results can be acquire compared to the evaluation result from the previous research. |
| id |
IOS3660.article-593 |
| institution |
Universitas Muhammadiyah Malang |
| institution_id |
136 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Muhammadiyah Malang |
| library_id |
546 |
| collection |
Kinetik Game Technology, Information System, Computer Network, Computing, Electronics, and Control |
| repository_id |
3660 |
| subject_area |
Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika Electronics/Teknik Elektronika |
| city |
MALANG |
| province |
JAWA TIMUR |
| repoId |
IOS3660 |
| first_indexed |
2018-04-20T00:45:05Z |
| last_indexed |
2019-05-06T08:23:13Z |
| recordtype |
dc |
| merged_child_boolean |
1 |
| _version_ |
1685998630538838016 |
| score |
17.608912 |