Text Classification based on Association Rule Mining Technique | Zendy

Meenakshi Mishra | Zendy; K. C. Santosh | Zendy

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Text Classification based on Association Rule Mining Technique

Author(s) -

Meenakshi Mishra,

K. C. Santosh

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017914905

Subject(s) - computer science , association rule learning , association (psychology) , data mining , information retrieval , natural language processing , data science , philosophy , epistemology

In this paper association rule mining (ARM) and classification are explained and performed. The limitation of Classification without ARM is also discussed. The Paper also considers the use of association rule mining in classification approach in which a comparative study of Naïve Bayes Classifier and KNN is performed for this purpose. Finally, a comprehensive experimental study against FIRE data set is presented to evaluate and compare traditional and association rule based classification techniques with regards to classification performance.

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