The goal of the paper is to present the framework for combining clustering and classification for churn management in telecommunications. Considering the value of market segmentation, we propose a three-stage approach to explain and predict the churn in telecommunications separately for...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...

Cluster analysis by k-means algorithm by R programming applied for the geological data analysis is the scope of the presented paper. The research object is the Mariana Trench, a hadal trench located in west Pacific Ocean. The study evaluates the similarity of the geological data by the analysis...

Purpose: A survey has been carried out among Italian car makers, suppliers, and customers to identify the potential changes that the traditional Italian automotive supply chain would need for the introduction of electric vehicles. In addition, this study investigates the degree of importance...

Foreign direct investment is supposed to stimulate economic growth through the transfer of new technical knowledge and product innovation. This paper deals with the knowledge flow within the Japanese automotive supply chain catalysed by the keiretsu network in Indonesia. For this purpose, we...

In order to make clear the positioning of the port logistics competitiveness of Qingdao Port among the major coastal ports in China, recognize the development level and shortcomings of its own port, and promote the enhancement of its own port logistics competitiveness, this paper uses the factor...