Sequential pattern mining of rawi hadis (Case study: Shahih hadis of Imam Bukhari from software Ensiklopedi Hadis Kitab 9 Imam)
Sekti Kartika Dini, Muhammad Nur Aidi, Bagus Sartono · AIP conference proceedings · 2017
This research is about rawi data of shahih hadith Imam Bukhari. The purpose of the research is to find out the association pattern that was formed between rawi hadith in shahih Bukhari book. The data used in this research is secondary data from software Ensiklopedia Kitab 9 Imam was created by Lidwa Pusaka. Sequential pattern mining technique is the method that used to analysis the data. SPADE (Sequential Pattern Discovery using Equivalent classes) is one of sequential pattern algorithm is used to find sequence pattern in this research. This algorithm to find frequent sequence of rawi data transaction, using vertical database and sequence join process. SPADE algorithm would result frequent sequence that then used to form the rules of rawi.