Application of a Mining Algorithm to Finding Frequent Patterns in a Text Corpus: A Case Study of the Arabic
نویسنده
چکیده
Information repositories containing text data of different languages are abundant on the World Wide Web. Digital corpora of sacred text of Islam related to Quran containing Arabic language are also publicly available. The availability of these corpora and intelligent application to analyze them are vital to better comprehend the religious text of Islam. In this paper I propose a method of representing the Quranic text corpus as a graph, and apply a frequent sub-path mining algorithm on it to generate frequent patterns. I have explained how the resulting frequent patterns can be used for subjective indexing and clustering similar verses of Quran.
منابع مشابه
Mining Frequent Patterns in Uncertain and Relational Data Streams using the Landmark Windows
Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...
متن کاملUsing a Data Mining Tool and FP-Growth Algorithm Application for Extraction of the Rules in two Different Dataset (TECHNICAL NOTE)
In this paper, we want to improve association rules in order to be used in recommenders. Recommender systems present a method to create the personalized offers. One of the most important types of recommender systems is the collaborative filtering that deals with data mining in user information and offering them the appropriate item. Among the data mining methods, finding frequent item sets and ...
متن کاملروشی جدید جهت استخراج موجودیت‌های اسمی در عربی کلاسیک
In Natural Language Processing (NLP) studies, developing resources and tools makes a contribution to extension and effectiveness of researches in each language. In recent years, Arabic Named Entity Recognition (ANER) has been considered by NLP researchers due to a significant impact on improving other NLP tasks such as Machine translation, Information retrieval, question answering, query result...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملArabic News Articles Classification Using Vectorized-Cosine Based on Seed Documents
Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012