Civil engineering approach on the classification algorithms with the comparison perspective

U. Vignesh, S. Charishma, K. Jayadeep

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Now-A-days there is a high need of data maintenance since there is a vast growth in usage of internet we need to optimize the data and from the available data we need to infer the related or required patterns and this job is done by data mining. One of the main tasks of data mining is classification. In this paper we have discussed about classification algorithms namely Decision Table, OneR, Random Forest, AdaBoost, Naïve Bayes. We analyzed these algorithms using mushroom data set using weka-3.4.9 tool. In this way we can use the classification of data with respect to civil engineering.

Original languageEnglish
Pages (from-to)168-176
Number of pages9
JournalInternational Journal of Civil Engineering and Technology
Volume9
Issue number2
Publication statusPublished - 02-2018

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction
  • Computer Networks and Communications

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