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Extending the Doctrine ORM Framework Towards Fuzzy Processing of Data

Exemplified by Ambulatory Data Analysis

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Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation (BDAS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 716))

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Abstract

Extending standard data analysis with the possibility to formulate fuzzy search criteria and benefit from linguistic terms that are frequently used in real life, like small, high, normal, around, has many advantages. In some situations, it allows to extend the set of results by similar cases that would not be possible or difficult with precise search criteria. This is especially beneficial when analyzing biomedical data, where sets of important measurements or biomedical markers describing particular state of a patient or person have similar, but not the same values. In other situations, it allows to generalize the data and aggregate it, and thus, quickly reduce the volume of data from Big to small. Extensions that allow the fuzzy data analysis can be implemented in various layers of the database client-server architecture. In this paper, on the basis of the ambulatory data analysis, we show extensions to the Doctrine object-relational mapping (ORM) layer that allow for fuzzy querying and grouping of crisp data.

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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Bożena Małysiak-Mrozek, Hanna Mazurkiewicz & Dariusz Mrozek

Authors
  1. Bożena Małysiak-Mrozek
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  2. Hanna Mazurkiewicz
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  3. Dariusz Mrozek
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Corresponding author

Correspondence to Dariusz Mrozek .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Małysiak-Mrozek, B., Mazurkiewicz, H., Mrozek, D. (2017). Extending the Doctrine ORM Framework Towards Fuzzy Processing of Data. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-58274-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58273-3

  • Online ISBN: 978-3-319-58274-0

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