Discovering Patterns to Produce Effective Output through Text Mining using Naïve Bayesian Algorithm
Kavitha Murugeshan1, Neeraj RK2
1Mrs. Kavitha Murugeshan, Department of Computer Science and Engineering, Calicut University, VVIT, Karadparamba Malappuram (Kerala), India.
2Mr. Neeraj R.K, Department of Computer Science and Engineering, Calicut University, VVIT, Karadparamba Malappuram (Kerala), India.
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 177-180 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0828052613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Text mining has been an unavoidable data mining technique. There are different methods for text mining, One of the most successful will be mining using the effective patterns. Here a Naïve Bayesian algorithm is being used for discovering of patterns, since this will be the most appropriate one for classifying positive and negative documents. The usual results will not be in an optimized manner. The prescribed method makes the output arranged in a particular order.
Keywords: Text mining, Pattern Discovery, Pattern Taxonomy.
Scope of the Article: Patterns and Frameworks