As part of the minitrack at the Hawaii International Conference on System Sciences (HICSS) "Social Shopping: The Good, The Bad and The Ugly", Sebastian Lawrenz presented the current publication entitled "Data Trading Similarity Signature An Extended Data Trading Framework for Human and Non-Human Actors". In it, the team of researchers from TU Clausthal Sebastian Lawrenz (DIGIT), Dr Hendrik Poschmann (IfAD), Prof. Dr Andreas Rausch (ISSE) and Vera Stein (ISSE) presents a novel and improved approach to verifying requirements on data sets using artificial intelligence. The approach is based on the concept of autoencoders and enables the formulation of both human and machine requirements for a data marketplace.
The Hawaii International Conference on System Sciences is one of the largest conferences in the field of information systems and software engineering. Due to the current pandemic, the conference was again held completely virtually.
Click here for the publication: https://scholarspace.manoa.hawaii.edu/handle/10125/79937