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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Extending the Doctrine ORM Framework Towards Fuzzy Processing of Data
Exemplified by Ambulatory Data Analysis
verfasst von : Bożena Małysiak-Mrozek, Hanna Mazurkiewicz, Dariusz Mrozek
Erschienen in: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation
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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.