Impact of Boolean factorization as preprocessing methods for classification of Boolean data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33150657" target="_blank" >RIV/61989592:15310/14:33150657 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/article/10.1007%2Fs10472-014-9414-x" target="_blank" >http://link.springer.com/article/10.1007%2Fs10472-014-9414-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10472-014-9414-x" target="_blank" >10.1007/s10472-014-9414-x</a>

Result language
angličtina
Original language name
Impact of Boolean factorization as preprocessing methods for classification of Boolean data
Original language description
We explore a utilization of Boolean matrix factorization for data preprocessing in classification of Boolean data. In our previous work, we demonstrated that preprocessing that consists in replacing the original Boolean attributes by factors, i.e. new Boolean attributes obtained from the original ones by Boolean matrix factorization, can improve classification quality. The aim of this paper is to explore the question of how the various Boolean factorization methods that were proposed in the literature impact the quality of classification. In particular, we compare five factorization methods, present experimental results, and outline issues for future research.
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>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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