Association Rules Mining for Urdu Language
Nazish Asad, Muhammad Younus Javed, Usman Qamar · International Journal of Computer and Communication Engineering · 2012
This paper explains the importance of Association Rules for several domains of Urdu language (e.g.education, publication and web development).Although various association rules mining techniques have successfully used for market basket analysis but no one has applied on Urdu text.A new mining model i.e.Urdu Mining Model (UMM) is proposed based upon Apriori algorithm and used to extract unique words and phrases from Urdu language.UMM is tested on an Urdu corpus and results have shown that it has worked well on Urdu text i.e.Apriori is really effective to mine text databases as well.Results are communicated for further research and enhancement of existing tools and systems which deal Urdu text in one way or the other.