Presentation an Algorithm to Discover Association Rules from Text
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
RSTCONF01_620
تاریخ نمایه سازی: 30 آبان 1394
Abstract:
In many situations, individuals or groups of individuals are faced with the need to examine sets of documents to achieve understanding of their structure and to locate relevant information. A handful of text data mining approaches are available to extract many potential information and association from large amount of text data. In general, data mining deals with structured data (for example relational databases), whereas text presents special characteristics and is unstructured. The unstructured data is totally different from databases, where mining techniques are usually applied and structured data is managed. Text mining can work with unstructured or semi structured data sets.In that context, this paper presents an algorithm to discover association rules from text. Our approach starts by building a relational database from the text data set. On top of that, a novel technique is presented that searching and recognize patterns in text, then extract association rules. Results have shown remarkable care and the efficiency of the proposed algorithm in comparison with the other methods.
Keywords:
Text Mining , Natural Processing Language , Association Rule Mining , Knowledge Discovery from Database , Detection Text Patterns
Authors
Hoda parehdooz shooshtari
Lecturer, Master Degree, computer, software,Department of Computer, Technical and Vocational University Branch of Ahwaz
Mohammad hossein Yektaie
Assistant Professor, computer, Artificial intelligence, Department of Computer, Islamic Azad University Branch of Abadan
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