Pozzolan Classification Using Decision Tree Approach

Abstract

In our research we use classification using decision tree approach. The Decision Tree is one of the most popular classification algorithms in current use in Data Mining and Machine Learning. According to our experiment results we find better results from geology aspect. In this experiment we analysis the 100 soils specimen data we found to identify Class N, Class F and Class C in right way. This paper describes the results of a study which was primarily directed to the determiation of geotechnical properties of stabilized fine coal refuse obtained from one of the mines in southern Illinois to assess its suitability for highway constructio work. The fine coal refuse, alone or with flyash or lime-flyash admixtures, possesses acceptable compaction characteristics. It appears from the test results that the fine coal refuse used in this study can be properly stabilized for use in construction of highway subgrades and embankments. thus eliminating the need for additional land for stockpiling. Decision trees provide a clear, representation of the data model. Natural Pozzolan are also found in Myanmar. This System can help geologist to identify what classes of the Pozzolan. The system is implemented by using decision tree for classification.