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文章基本信息

  • 标题:A Comparative Study of Meta Classifier Algorithms on Multiple Datasets
  • 本地全文:下载
  • 作者:P.KALAISELVI ; Dr.C.NALINI
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 出版社:S.S. Mishra
  • 摘要:Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. While the procedures for comparison of a pair of classifiers on a single dataset have been proposed almost a decade ago, comparative studies with more classifiers and/or more data sets still employ partial and unsatisfactory solutions. In this paper, Robot Navigation dataset is analyzed using WEKA data mining tool to explore the efficient classifier to find the high accuracy. Various classification algorithms are applied over multiple datasets and finally, based on high accuracy the best classifier is identified
  • 关键词:Data Mining; MetaClassifier; MultiClass; Efficient; Accuracy
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