In the paper at hand, a structured literature review was conducted to provide an overview of
the components of value creation from Data Science applications. For this purpose, the …

This study aims to evaluate the current state of research with regards to Machine Learning
as a Service (MLaaS) and to identify challenges and research fields of this novel topic. First …

Big Data is a term that gained popularity due to its potential benefits in various fields, and is
progressively being used. However, there are still many gaps and challenges to overcome …

The amount of semi-structured textual data being generated all over the world wide web has
placed the limelight on the fields of natural language processing and text mining. With the …

An overview of common process models for the implementation of data science is presented
in this article. Since the development of KDD and CRISP-DM, the central ideas have been …

Over the past years, Machine Learning has been applied to an increasing number of
problems across numerous industries. However, the steady rise in the application of …

Deep Learning (DL) is significantly impacting many industries, including automotive, retail
and medicine, enabling autonomous driving, recommender systems and genomics …

For more than a decade now, data has been considered as the new digital oil when it comes
to IT projects. Be it as a basis for the development of new ideas and business processes or …

Many organizations try to apply analytics in order to improve their business processes. More
and more cloud services are offered to support these efforts. However, the support of …