Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering

Seyedtaha Seyedsadr; Mohammadali Afsharkazemi; Hashem Nikoomaram

doi:doi:10.11648/j.acis.20150306.18

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Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering

Seyedtaha Seyedsadr, Mohammadali Afsharkazemi, Hashem Nikoomaram

Published in Automation, Control and Intelligent Systems (Volume 3, Issue 6)

Received: 20 December 2015 Accepted: 4 January 2016 Published: 15 January 2016

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Abstract

Since Wikipedia encyclopedia is one of the most popular web sites on the internet, providing accurate information is of abundant importance. In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion. First, the variables relating to the articles included in the list of featured articles, good articles, cleanup needed, and deletion articles are collected. Then, two methods are used for the analysis of data: First, a decision tree explains the relationships among the collected variables as rules that are implemented by adaptive neuro fuzzy interference system. Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared. The results indicate that the average daily hits, total views, page length, total number of edits, total number of authors, and number of templates used are directly related to quality of Persian articles while the number of recent number of authors is inversely related to quality of articles.

Published in	Automation, Control and Intelligent Systems (Volume 3, Issue 6)
DOI	10.11648/j.acis.20150306.18
Page(s)	141-153
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Wikipedia Encyclopedia, Quality of Articles, J48 Decision Tree, ANFIS, Subtractive Clustering Algorithm

References

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APA Style

Seyedtaha Seyedsadr, Mohammadali Afsharkazemi, Hashem Nikoomaram. (2016). Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Automation, Control and Intelligent Systems, 3(6), 141-153. https://doi.org/10.11648/j.acis.20150306.18

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ACS Style

Seyedtaha Seyedsadr; Mohammadali Afsharkazemi; Hashem Nikoomaram. Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Autom. Control Intell. Syst. 2016, 3(6), 141-153. doi: 10.11648/j.acis.20150306.18

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AMA Style

Seyedtaha Seyedsadr, Mohammadali Afsharkazemi, Hashem Nikoomaram. Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Autom Control Intell Syst. 2016;3(6):141-153. doi: 10.11648/j.acis.20150306.18

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@article{10.11648/j.acis.20150306.18,
  author = {Seyedtaha Seyedsadr and Mohammadali Afsharkazemi and Hashem Nikoomaram},
  title = {Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {6},
  pages = {141-153},
  doi = {10.11648/j.acis.20150306.18},
  url = {https://doi.org/10.11648/j.acis.20150306.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150306.18},
  abstract = {Since Wikipedia encyclopedia is one of the most popular web sites on the internet, providing accurate information is of abundant importance. In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion. First, the variables relating to the articles included in the list of featured articles, good articles, cleanup needed, and deletion articles are collected. Then, two methods are used for the analysis of data: First, a decision tree explains the relationships among the collected variables as rules that are implemented by adaptive neuro fuzzy interference system. Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared. The results indicate that the average daily hits, total views, page length, total number of edits, total number of authors, and number of templates used are directly related to quality of Persian articles while the number of recent number of authors is inversely related to quality of articles.},
 year = {2016}
}

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TY  - JOUR
T1  - Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering
AU  - Seyedtaha Seyedsadr
AU  - Mohammadali Afsharkazemi
AU  - Hashem Nikoomaram
Y1  - 2016/01/15
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20150306.18
DO  - 10.11648/j.acis.20150306.18
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 141
EP  - 153
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150306.18
AB  - Since Wikipedia encyclopedia is one of the most popular web sites on the internet, providing accurate information is of abundant importance. In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion. First, the variables relating to the articles included in the list of featured articles, good articles, cleanup needed, and deletion articles are collected. Then, two methods are used for the analysis of data: First, a decision tree explains the relationships among the collected variables as rules that are implemented by adaptive neuro fuzzy interference system. Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared. The results indicate that the average daily hits, total views, page length, total number of edits, total number of authors, and number of templates used are directly related to quality of Persian articles while the number of recent number of authors is inversely related to quality of articles.
VL  - 3
IS  - 6
ER  -

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Author Information

Seyedtaha Seyedsadr

Department of Management, Electronic Branch, Islamic Azad University, Tehran, Iran
Mohammadali Afsharkazemi

Department of Management, Tehran Central Branch, Islamic Azad University, Tehran, Iran
Hashem Nikoomaram

Department of Management and Economics, Sciences and Research Branch, Islamic Azad University, Tehran, Iran

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Plain Text BibTeX RIS

APA Style

Seyedtaha Seyedsadr, Mohammadali Afsharkazemi, Hashem Nikoomaram. (2016). Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Automation, Control and Intelligent Systems, 3(6), 141-153. https://doi.org/10.11648/j.acis.20150306.18

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ACS Style

Seyedtaha Seyedsadr; Mohammadali Afsharkazemi; Hashem Nikoomaram. Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Autom. Control Intell. Syst. 2016, 3(6), 141-153. doi: 10.11648/j.acis.20150306.18

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AMA Style

Seyedtaha Seyedsadr, Mohammadali Afsharkazemi, Hashem Nikoomaram. Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering. Autom Control Intell Syst. 2016;3(6):141-153. doi: 10.11648/j.acis.20150306.18

Copy | Download

@article{10.11648/j.acis.20150306.18,
  author = {Seyedtaha Seyedsadr and Mohammadali Afsharkazemi and Hashem Nikoomaram},
  title = {Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {6},
  pages = {141-153},
  doi = {10.11648/j.acis.20150306.18},
  url = {https://doi.org/10.11648/j.acis.20150306.18},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150306.18},
  abstract = {Since Wikipedia encyclopedia is one of the most popular web sites on the internet, providing accurate information is of abundant importance. In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion. First, the variables relating to the articles included in the list of featured articles, good articles, cleanup needed, and deletion articles are collected. Then, two methods are used for the analysis of data: First, a decision tree explains the relationships among the collected variables as rules that are implemented by adaptive neuro fuzzy interference system. Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared. The results indicate that the average daily hits, total views, page length, total number of edits, total number of authors, and number of templates used are directly related to quality of Persian articles while the number of recent number of authors is inversely related to quality of articles.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Qualifying Articles of Persian Wikipedia Encyclopedia Through J48 Algorithm, ANFIS and Subtractive Clustering
AU  - Seyedtaha Seyedsadr
AU  - Mohammadali Afsharkazemi
AU  - Hashem Nikoomaram
Y1  - 2016/01/15
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20150306.18
DO  - 10.11648/j.acis.20150306.18
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 141
EP  - 153
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150306.18
AB  - Since Wikipedia encyclopedia is one of the most popular web sites on the internet, providing accurate information is of abundant importance. In this research, the effective variables on quality of Persian articles are identified and a system is, then, designed for judging articles in three quality levels: high quality, cleanup needed, and deletion. First, the variables relating to the articles included in the list of featured articles, good articles, cleanup needed, and deletion articles are collected. Then, two methods are used for the analysis of data: First, a decision tree explains the relationships among the collected variables as rules that are implemented by adaptive neuro fuzzy interference system. Second, the data are implemented by subtractive clustering algorithm and the error of both methods is, finally, measured and compared. The results indicate that the average daily hits, total views, page length, total number of edits, total number of authors, and number of templates used are directly related to quality of Persian articles while the number of recent number of authors is inversely related to quality of articles.
VL  - 3
IS  - 6
ER  -

Copy | Download