On 7 and 8 November, Dr George Giannakopoulos, Researcher in the field of Artificial Intelligence at SKEL lab, held a training course in the framework of the Marie Curie International Training Network of project PlaCe-ITN, of The Cyprus Institute titled “Data Management in CH: Data processing, Data integration, Big Data, Artificial Intelligence, and Data Mining“.
The aim of the course was to familiarise the audience with terms and definitions related to AI, Machine Learning and other related disciplines; to explain how machines learn and why they do not learn on their own; to present the various applications of AI and machine learning, limited by a broader perspective on archaeology (e.g. artefact classification, forensic archaeology, material data science, document analysis and others) as well as outline the investments needed to properly harness AI in the field of archaeology and how we can expect AI to change the current state of practice or even how we ourselves can contribute to this change.
The second part of the training course was Data Mining which presented the basics, motivation, main objective and steps but also the relationship with big data. Furthermore, different perspectives of data (from archives and databases, to data streams, to unstructured data, etc.) were analysed and these perspectives were linked to possible applications of data mining that can support experts in their work.