Abstract
This publication discusses intelligent systems for cognitive data categorisation with a particular emphasis on image analysis systems used to analyse economic data. This type of systems used to interpret, analyse and reason work following the operating principles of cognitive information system. Cognitive systems interpret complex data by extracting semantic levels from it, which they use to determine the meaning of the data analysed, to cognitively understand it, as well as to reason and forecast changes in the area of the phenomena researched. Thus the course of human processes of learning about the described phenomenon becomes the foundation for developing automatic cognitive systems which are called cognitive data analysis systems.
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Ogiela, L., Ogiela, M.R. (2010). Cognitive Informatics for New Classes of Economic and Financial Information Systems. In: Kim, Th., Kim, HK., Khan, M.K., Kiumi, A., Fang, Wc., Ślęzak, D. (eds) Advances in Software Engineering. ASEA 2010. Communications in Computer and Information Science, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17578-7_19
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DOI: https://doi.org/10.1007/978-3-642-17578-7_19
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