Isnad Al-Hadith Computational Authentication: An Analysis Hierarchically

Ibrahim, Nuzulha Khilwani; Noordin, Mohamad Fauzan; Samsuri, Suhaila; Seman, Muhamad Sadry Abu; Ali, Ahmed Elmogtaba Banga

doi:10.1109/ict4m.2016.075

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Ibrahim et al 23 presented a framework for authenticating isnad Hadith. The proposed framework consisted of three phases.…”

Section: Recent Advancements In Hadith Authenticationmentioning

confidence: 99%

“…Ibrahim et al 23 conducted an analysis to produce a hierarchy with different levels of related studies in computational Hadith to link with the computational authentication of isnad Hadith science. The results showed that the deepest level of Hadith authentication is that which involves the principles of Hadith science into the process.…”

Section: Recent Advancements In Hadith Authenticationmentioning

confidence: 99%

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Digital Hadith authentication: Recent advances, open challenges, and future directions

Hakak

Kamsin

Khan

et al. 2020

Trans Emerging Tel Tech

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The Holy Quran and Hadith are the two main sources of legislation and guidelines for Muslims to shape their lives. The daily activities, sayings, and deeds of the Holy Prophet Muhammad (PBUH) are called Hadiths. Hadiths are the optimal practical descriptions of the Holy Quran. Technological advancements of information and communication technologies (ICT) have revolutionized every field of daily life, including digitizing the Holy Quran and Hadith. Available online contents of Hadith are obtained from different sources. Thus, alterations and fabrications of fake Hadiths are feasible. Authentication of these online available Hadith contents is a complex and challenging task and a crucial area of study in Islam. Few Hadith authentication techniques and systems are proposed in the literature. In this study, we have surveyed all techniques and systems, which are proposed for Hadith authentication. Furthermore, classification, open challenges, and future research directions related to Hadith authentication are identified.

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“…Ibrahim et al 23 presented a framework for authenticating isnad Hadith. The proposed framework consisted of three phases.…”

Section: Recent Advancements In Hadith Authenticationmentioning

confidence: 99%

Section: Recent Advancements In Hadith Authenticationmentioning

confidence: 99%

Digital Hadith authentication: Recent advances, open challenges, and future directions

Hakak

Kamsin

Khan

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The components of Hadith are presented in Figure 1. There are many issues in Hadith studies as it has been summarized into 4 levels of Hadith studies in Ibrahim et al [3,4] as depicted in Figure 2. The subjects are changeable from the digitalization of the Hadith data [5][6][7][8][9][10][11][12][13][14][15] Hadith classification is an innovative research studies in computing fields that use different Data mining methods with a list of various options for the approach and algorithms such as decision tree, support vector machine (SVM), K-nearest neighbor (KNN), and Naive Bayes probabilistic classifier [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Thematic Textual Hadith Classification: An Experiment in Rapidminer using Support Vector Machine (SVM) and Naïve Bayes Algorithm

Yusof¹

2020

IJATCSE

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There are many existing problems in Hadith studies trending in the study field. The issues are changeable from the digitalization of the Hadith data to an exact case study of estimation of narrators' chain for a particular Hadith. However, in this paper, we are not concentrating on the such learning of estimating, confirming or authenticating a Hadith. It focuses more on the data mining use to the Hadith dataset. We put on the Hadith dataset onto one of machine learning tools which is text classification. The Hadith dataset is put into experiment for Hadith textual classification. It concentrates on the thematic classification based on the themes and words occurrences from the Hadith text (matn). The Hadith textual classification does not trace on the hukm and position or class of Hadith. This research does not categorize the Hadith into hukm Sahih, Hasan, Dhaif, or Mawdhoo'. However, the Hadith thematic dataset of this study use only Hadith from Sahih Bukhari, where all Hadith in the Book is categorized as sahih by Imam Al-Bukhari. The classification for this thematic Hadith dataset is implemented using Rapidminer, a machine learning tool using Naïve Bayes and Support Vector Machine (SVM) methods. From the results, the different value of accuracy for both SVM and Naïve Bayes Algorithm was 2.4%. The Naïve Bayes Algorithm displayed better result comparing to SVM. We believe that the result could be better by improving the data, algorithms, algorithm tuning or ensemble methods for the future experiments.

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A novel Hadith authentication mobile system in Arabic to Malay language translation for android and iOS Phones

Fadele

Kamsin

Ahmad

et al. 2020

Int. j. inf. tecnol.

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Isnad Al-Hadith Computational Authentication: An Analysis Hierarchically

Cited by 6 publications

References 12 publications

Digital Hadith authentication: Recent advances, open challenges, and future directions

Digital Hadith authentication: Recent advances, open challenges, and future directions

Thematic Textual Hadith Classification: An Experiment in Rapidminer using Support Vector Machine (SVM) and Naïve Bayes Algorithm

A novel Hadith authentication mobile system in Arabic to Malay language translation for android and iOS Phones

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