Discovering the Conceptual Relationships between Quranic Verses in the Light of Quran Commentaries by Using Data Mining Techniques

Finding the relationship between Quranic verses contributes to a proper understanding of verses and to the understanding of some ambiguous concepts. In commentary books, a number of related verses are mentioned, and having pairs of verses in one paragraph in commentary books and books of Quranic sciences can demonstrate the conceptual relationship between Quranic verses. The software books of Jam’i Tafsir Noor published by the Center of Computer Research in Islamic Sciences devote special attention to extracting the most frequent conjunctions from the verses that come together in one paragraph. This study shows that using data mining techniques contribute to finding and showing the hidden correlations between the data. The qualitative and quantitative evaluation of this research has gone through two stages; in the first, the support and reliability coefficients, Lift criterion, Jaccard and cosine similarity were used to evaluate duplicate patterns, rules of coherence and accuracy of discovering the relationship between the verses and in the second, the results obtained from comparing this research with the work of other researchers show that the present research takes priority over the rivaling works.