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 language | English |
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Pages (from-to) | 168-176 |
Number of pages | 9 |
Journal | International Journal of Civil Engineering and Technology |
Volume | 9 |
Issue number | 2 |
Publication status | Published - 02-2018 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction
- Computer Networks and Communications