Soft Computing Technique Based on Missing Value Treatment
Sukhman Kaur
Sukhman kaur, Department of Computer Science, Punjabi University, Patiala (Punjab), India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript Published on 26 August 2019 | PP: 165-169 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10270789S19/19©BEIESP DOI: 10.35940/ijitee.I1027.0789S19
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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: Missing value treatment is an actual yet challenging issue confronted in data mining. In existing work missing value treatment is a procedure that replaces the missing values in a dataset by some conceivable values. The conceivable values are generally generated from the dataset using a statistical evaluation. These typeso fresult donot give accurateout comes.In this paper, soft computing is used in the random forest approach using for missing value treatment that isdevised and implemented on the different types of social media. Using random forest approach results are improved form existing technique.
Keywords: Missing value, Missing Value Treatment, Soft Computing, Social Media.
Scope of the Article: Soft Computing