... the uncertainties involved in the estimation for the purpose of bidding (Awuku et al., 2022). In the past, both ANN and data mining techniques have been independently applied for cost estimation in various projects. Despite the fact that each technique has resulted in a better model, there has been...

...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. Data mining Extension theory Risk factors Collapse risk Loess tunnel Rough set theory Loess is widely distributed around the world, accounting for a tenth of the planet’s land area, and is located in forest grasslands, regular grasslands...

... 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...