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Pattern Classifications in Cognitive Informatics

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Computational Intelligence Paradigms in Advanced Pattern Classification

Part of the book series: Studies in Computational Intelligence ((SCI,volume 386))

Abstract

This chapter presents problems to which cognitive data analysis algorithms are applied. The cognitive data analysis approach presented here will be used to build cognitive systems for classifying patterns, which in turn will form the basis for discussing and characterising Understanding Based Image Analysis Systems (UBIAS). The purpose of these systems is image analysis, while their design and operation follow cognitive/reasoning processes characteristic for human cognition. Such processes represent not just simple data analysis, but their main function is to interpret, understand and reason about analysed data sets, employing the automatic data understanding process carried out by the system. A characteristic feature of cognitive analysis processes is the use of linguistic algorithms – which are to extract the meaning from data sets – to describe the analysed sets. It is those algorithms that serve to describe the data, interpret it and to reason.

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Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Krakow, Poland

    Lidia Ogiela

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  1. Lidia Ogiela
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Correspondence to Lidia Ogiela .

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  1. , Institute of Automatics, AGH University of Science and Technology, 30 Mickiewicza Ave, Krakow, 30-059, Poland

    Marek R. Ogiela

  2. , School of Electrical and Information, University of South Australia, Adelaide, SA 5095, Australia

    Lakhmi C Jain

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Ogiela, L. (2012). Pattern Classifications in Cognitive Informatics. In: Ogiela, M., Jain, L. (eds) Computational Intelligence Paradigms in Advanced Pattern Classification. Studies in Computational Intelligence, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24049-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-24049-2_4

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