Predictive models, such as rule based classifiers, often have difficulty with incomplete data (e.g., erroneous/ missing values). So, this work presents a technique used to reduce the severity of the effects of missing data on the performance of rule base classifiers using divisive data clustering. The Clustering Rule based Approach (CRA) clusters the original training data and builds a separate...

The public bicycle system is an important component of “mobility as a service” and has become increasingly popular in recent years. To provide better understanding the station activity driving mechanisms systems, study mainly compares usage temporal characteristics bicycles vicinity most common commuting-related points interest land use. It applies peak hour factor, distribution fitting, K-mean...