ENRICHMENT OF ENSEMBLE LEARNING USING K-MODES RANDOM SAMPLING

ENRICHMENT OF ENSEMBLE LEARNING USING K-MODES RANDOM SAMPLING

Ensemble of classifiers combines the more than one prediction models of classifiers into single model for classifying the new instances. Unbiased samples could help the ensemble classifiers to build the efficient prediction model. Existing sampling techniques fails to give the unbiased samples. To o...

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Bibliographic Details
Main Authors: Balamurugan Mahalingam, S Kannan, Vairaprakash Gurusamy
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2017-10-01
Series:ICTACT Journal on Communication Technology
Subjects:
Sampling
Ensemble Classifiers
Cluster Random Sample
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3186

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