Data Analytics Techniques for Concrete Compressive Strength Prediction

This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy.