The use of end-to-end data mining methodologies such as CRISP-DM, KDD process, and
SEMMA has grown substantially over the past decade. However, little is known as to how …

CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are currently hot topics in
industry and business practice, while management-oriented research disciplines seem …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

Data science has employed great research efforts in develo** advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

Up to now, many data mining and knowledge discovery methodologies and process models
have been developed, with varying degrees of success. In this paper, we describe the most …

The number of applied in the data mining and knowledge discovery (DM & KD) projects has
increased enormously over the past few years (Jaffarian et al., 2008)(Kdnuggets. com …

The Net Promoter Score (NPS) is still a popular customer loyalty measurement despite
recent studies arguing that customer loyalty is multidimensional. Therefore, firms require …

Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

Machine Learning and Artificial Intelligence allow the development of a new type of
applications that automatically identify hidden patterns, process large amounts of data, and …