The new era of information and the needs our society require continuous change in software technology. Changes are produced very quickly systems evolving at same velocity, which implies that decision-making process architectures should be (semi-)automated to satisfy changing avoid wrong decisions. This issue is critical since suboptimal architecture design decisions may lead high cost poor qual...

The purpose of this study is to implement the ensemble self-organizing maps (E-SOM) method impute missing values at preprocessing data stage, which an important stage when making predictions or classifications. Ensemble Self-Organizing Maps development SOM imputation method, in E-SOM implemented by applying framework using several SOMs improve generalization capabilities. In study, South Africa...

Construction projects in urban areas tend to be associated with high-rise buildings and are of very large-scales; hence, the importance a project’s underground construction work is significant. In this study, rational model based on machine learning (ML) was developed. ML algorithms programs that can learn from data improve experience without human intervention. self-organizing maps (SOMs) were...