Keyword-Based Hadith Grouping Using Fuzzy C-Means Method

Evi Dewi Sri Mulyani, N. Nelis Febriani SM, Adam Darmawan, Restu Adi Wiyono, Rahadi Deli Saputra, Dani Rohpandi
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引用次数: 1

Abstract

Most of the Islamic documents have been documented and published to Muslims to be studied and applied in daily activities. One of these documents is a Hadith. Along with the development of hadith technology not only recorded on sheets of paper but also stored on digital data storage media in the form of databases. Document grouping allows users to get better information than using documents in the same group. Fuzzy techniques allow different membership levels. The purpose of grouping documents is to get different groups. This is needed for better document search. The document used in this study is an Indonesian translation of the Sunnan An Nasa'i Hadith tradition with a grouping technique using a combination of Text Mining and Fuzzy C-Means algorithm as a method of grouping it. By comparing the results of manual calculations against the results of calculations using RStudio software, the accuracy obtained is 80%.
基于关键词的模糊c均值哈迪斯分组
大部分的伊斯兰文献都被记录和出版给穆斯林,供他们在日常活动中学习和应用。其中一份文件是圣训。随着圣训技术的发展,圣训不仅记录在纸上,而且以数据库的形式存储在数字数据存储介质上。文档分组允许用户获得比在同一组中使用文档更好的信息。模糊技术允许不同的成员级别。对文档进行分组的目的是得到不同的组。这是更好的文档搜索所需要的。本研究中使用的文件是Sunnan an Nasa'i Hadith传统的印尼语翻译,使用文本挖掘和模糊c均值算法相结合的分组技术作为分组方法。通过将人工计算结果与RStudio软件计算结果进行比较,得到的精度为80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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