A visual programming approach to big data analytics

Abstract

Data processing and analysis has become a major task in a lot of application domains. Most tools for defining analytical processes lack a user oriented interface - especially when it comes to Big Data analytics. In this work we propose an abstraction layer for process design that enables domain experts to define their processes at an abstract level that matches their expertise. Based on that, we investigate the use of machine learning to provide gesture recognition on input devices like tablets to provide these experts with a intuitive environment for process design. © 2014 Springer International Publishing Switzerland.