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- W131169640 abstract "Nowadays information systems are required to be more adaptable and flexible than before to deal with the rapidly increasing quantity of available data and changing information needs. Text Classification (TC) is a useful task that can help to solve different problems in different fields. This paper investigates the application of descriptive approaches for modelling classification. The main objectives are increasing abstraction and flexibility so that expert users are able to customise specific strategies for their needs.The contribution of this paper is two-fold. Firstly, it illustrates that the modelling of classifiers in a descriptive approach is possible and it leads to a close definition w.r.t. mathematical formulations. Moreover, the automatic translation from PDatalog to mathematical formulation is discussed. Secondly, quality and efficiency results prove the approach feasibility for real-scale collections." @default.
- W131169640 created "2016-06-24" @default.
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- W131169640 date "2011-01-01" @default.
- W131169640 modified "2023-09-24" @default.
- W131169640 title "A Descriptive Approach to Classification" @default.
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- W131169640 doi "https://doi.org/10.1007/978-3-642-23318-0_27" @default.
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