Fuzzy ILP Classification of web reports after linguistic text mining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10100152" target="_blank" >RIV/00216208:11320/12:10100152 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ipm.2011.02.008" target="_blank" >http://dx.doi.org/10.1016/j.ipm.2011.02.008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ipm.2011.02.008" target="_blank" >10.1016/j.ipm.2011.02.008</a>

Result language
angličtina
Original language name
Fuzzy ILP Classification of web reports after linguistic text mining
Original language description
In this paper we study the problem of classification of textual web reports. We are specifically focused on situations in which structured information extracted from the reports is used for classification. We present an experimental classification systembased on usage of third party linguistic analyzers, our previous work on web information extraction, and fuzzy inductive logic programming (fuzzy ILP). A detailed study of the so-called 'Fuzzy ILP Classifier' is the main contribution of the paper. The study includes formal models, prototype implementation, extensive evaluation experiments and comparison of the classifier with other alternatives like decision trees, support vector machines, neural networks, etc.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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