Multi-knowledge extraction from violent crime datasets using swarm rough algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86092938" target="_blank" >RIV/61989100:27240/12:86092938 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/HIS.2012.6421395" target="_blank" >http://dx.doi.org/10.1109/HIS.2012.6421395</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HIS.2012.6421395" target="_blank" >10.1109/HIS.2012.6421395</a>

Result language
angličtina
Original language name
Multi-knowledge extraction from violent crime datasets using swarm rough algorithm
Original language description
This paper presents a swarm rough approach to analyze the combination factors of violent crime. The approach discovers the feature combinations in an efficient way to observe the change of rough set positive region as the fuzzy swarm proceed throughout the search space. We evaluated the performance of our approach using the violent factor datasets and the corresponding computational experiments are discussed. Empirical results indicate that our approach is ideal for all the considered problems and the fuzzy swarm optimization technique outperforms dynamic reducts (DR) approache by obtaining multiple reductions for the combination factor datasets. 2012 IEEE.
Czech name
—
Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012
ISBN
978-1-4673-5115-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
560-565
Publisher name
IEEE
Place of publication
New York
Event location
Pune
Event date
Dec 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000319456700096

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