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Classification and Modeling with Linguistic Information Granules

Advanced Approaches to Linguistic Data Mining

Springer Berlin,
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Kurzbeschreibung

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Details
Schlagworte

Titel: Classification and Modeling with Linguistic Information Granules
Autoren/Herausgeber: Hisao Ishibuchi, Tomoharu Nakashima, Manabu Nii
Aus der Reihe: Advanced Information Processing
Ausgabe: Softcover reprint of hardcover 1st ed. 2005

ISBN/EAN: 9783642058608

Seitenzahl: 308
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 492 g
Sprache: Englisch

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