Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088871" target="_blank" >RIV/61989100:27240/13:86088871 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088871
Result on the web
<a href="http://dx.doi.org/10.1016/j.camwa.2013.02.017" target="_blank" >http://dx.doi.org/10.1016/j.camwa.2013.02.017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.camwa.2013.02.017" target="_blank" >10.1016/j.camwa.2013.02.017</a>
Alternative languages
Result language
angličtina
Original language name
Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression
Original language description
There are various techniques for data mining and data analysis. Among them, hybrid approaches combining two or more fundamental methods gain importance as the complexity and dimension of real world problems and data sets grows. Fuzzy sets and fuzzy logiccan be used for efficient data classification by the means of fuzzy rules and classifiers. This study presents an application of genetic programming to the evolution of fuzzy rules based on the concept of extended Boolean queries. Fuzzy rules are used as symbolic classifiers learned from data and used to label data records and to predict the value of an output variable. An example of the application of such a hybrid evolutionary-fuzzy data mining approach to a real world problem is presented.
Czech name
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Czech description
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Classification
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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Result continuities
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)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers & Mathematics with Applications
ISSN
0898-1221
e-ISSN
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Volume of the periodical
66
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
190-200
UT code for WoS article
000321941300010
EID of the result in the Scopus database
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