Finding Frequent Patterns in Holy Quran UsingText Mining

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Aslani Akram; ESMAEILI MAHDI

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2018 | Volume:15 | Issue:3 (37) Page(s): 89-100

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

2,597

Download:

Cites:

Information Journal Paper

Title

Finding Frequent Patterns in Holy Quran UsingText Mining

Author(s)

Aslani Akram | ESMAEILI MAHDI | Issue Writer Certificate

Keywords

Data MiningQ1

Text MiningQ1

Association rulesQ3

Holy QuranQ1

Frequent patternsQ1

Abstract

Quran’ s Text differs from any other texts in terms of its exceptional concepts, ideas and subjects. To recognize the valuable implicit patterns through a vast amount of data has lately captured the attention of so many researchers. Text Mining provides the grounds to extract information from texts and it can help us reach our objective in this regard. In recent years, Text Mining on Quran and extracting implicit knowledge from Quranic words have been the object of researchers’ focus. It is common that in Quranic experts’ arguments, different sides of the discussion present different intellectual, logical and some non-integrated minor evidence in order to prove their own theories. More often than not, every side of these arguments disapproves of the other’ s hypothesis and in the end it is impossible for them to reach a state of consensus on the matter, the reason is that, they do not have a common basis for their arguments and they do not make use of scientific, logical methods to strongly support their theories. Therefore, using modern technological trends regarding Quranic arguments could lead to resolving so many of current discrepancies, caused by human errors, which exist among Quranic researchers. It can help providing a common ground for their arguments in order to reach a comprehensive understanding. The method used in this research implements frequent pattern mining algorithms, singular Frequent patterns as well as dual and tripe Frequent patterns in order to analyze Quranic text, in addition to this, Association rules have also been evaluated in the research. Out of 54226 extracted Association rules for Quranic words which have been evaluated by the use of criteria such as confidence coefficient, support coefficient, lift criteria as well as Co-efficient criteria. Top 10 rules for each criterion have been analyzed and reviewed throughout the project.

Cites

No record.

References

No record.

Cite

APA: Copy

Aslani, Akram, & ESMAEILI, MAHDI. (2018). Finding Frequent Patterns in Holy Quran UsingText Mining. SIGNAL AND DATA PROCESSING, 15(3 (37) ), 89-100. SID. https://sid.ir/paper/160861/en

Vancouver: Copy

Aslani Akram, ESMAEILI MAHDI. Finding Frequent Patterns in Holy Quran UsingText Mining. SIGNAL AND DATA PROCESSING[Internet]. 2018;15(3 (37) ):89-100. Available from: https://sid.ir/paper/160861/en

IEEE: Copy

Akram Aslani, and MAHDI ESMAEILI, “Finding Frequent Patterns in Holy Quran UsingText Mining,” SIGNAL AND DATA PROCESSING, vol. 15, no. 3 (37) , pp. 89–100, 2018, [Online]. Available: https://sid.ir/paper/160861/en

Related Journal Papers