Abstract Machine learning has recently emerged as a powerful technique to increase
operational efficiency or to develop new value propositions. However, the translation of a …

In this study, we consider projects for developing service systems using machine learning
(ML) techniques. These projects involve collaboration between various stakeholders …

As we are living in the era of big data, high volumes of wide varieties of data which may be
of different veracity (eg, precise data, imprecise and uncertain data) are easily generated or …

In this work, we consider the construction of a model on a project developing an Artificial
Intelligence (AI) system and propose a modeling approach to represent the project for …

In this study, we consider the construction of a model for representing an artificial
intelligence (AI) service system project. When developing a system using AI technologies to …

In this study, we consider projects for developing service systems using machine learning
(ML) techniques. These projects involve collaboration between various stakeholders …

As an emergent field of inquiry, Data Science serves both the information technology world
and the applied sciences. Data Science is a known term that tends to be synonymous with …

In this work, we propose a model of a project to develop an artificial intelligence (AI) service
system used in an office environment. Our model is based on enterprise architecture (EA) …

Collections of text documents such as product reviews and microblogs often evolve over
time. In practice, however, classifiers trained on them are updated infrequently, leading to …

The widespread use of social media platforms like Twitter and Facebook has enabled
people of all ages to share their thoughts and experiences, leading to an immense …