... various cost estimation techniques are available, appropriate use and combination of various ML techniques aid in improving the prediction accuracy. The proposed model will be a value addition to cost estimation of pile foundations. Data mining is the process through which raw data is converted...

...Tahmineh Aldaghi; Shima Javanmard Purpose This paper aims to evaluate the performance of the Mashhad No. 5 wastewater treatment plant (WWTP) using a combination of data mining (regression) algorithms and artificial neural networks. Design/methodology/approach In this research, the performance...

... and provides a reference for future studies. Xueliang Zhang can be contacted at: zhangxltcz@163.com 05 02 2018 05 02 2018 29 07 2018 © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Data mining Extension theory Risk factors...

... with the data mining technique (k-means clustering) on most of building performance analyses. This study highlighted that the calibrating energy data are a better approach to analyze energy use in buildings and that there is a relationship between LEED credits’ (EA) Optimize Energy Performance scores...