Datamining Optimization of Steganalysis by means of Neural Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F10%3A63508853" target="_blank" >RIV/70883521:28140/10:63508853 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Datamining Optimization of Steganalysis by means of Neural Network
Original language description
In the view of global data growth in all industry fields, emphasis should be put on the quality and the information content as well as on the data optimization of processes which work with this data. This paper deals with a possibility to optimize by means of data mining a process of steganalysis solved by neural networks. One of the basic methods of data mining classification can reduce a dimension of data which is performed by NN later. To obtain a datamining model algorithm J48 was used and also several testing methods which classify instances with 64 attributes into two classes. For comparison with the originally published neural networks model, neural networks were used again to verify the data mining model. Conclusion is focused on holding an accuracy of classification and prediction of the model with additional refers to time savings caused by reduction of used data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Internet, bezpečnost a konkurenceschopnost organizací. Řízení procesů a využití moderních teerminálových technologií
ISBN
978-83-61645-16-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatiky
Place of publication
Zlín
Event location
Zlín
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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