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EN
Due to the constantly growing interest in alternati ve investments, the art market has become the subject of numerous studies. By publishing sales data, many services and auction houses provide a foundati on for further research on the latest trends. Determining the definiti on of the arti sti c value or formalisation of appraisal may be considered quite complex. Statistical analysis, econometric methods or data mining techniques could pave the way towards bett er understanding of the mechanisms occurring on the art market. The goal of this paper is to identify, describe and compare solutions (and related challenges) that help to analyse, make decisions and defi ne state of the art in the context of the intersecti on of econometrics on art markets and computer science. This work is also a starting point for further research.
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