Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.provenance | CONICET | - |
| dc.creator | Perichinsky, Gregorio | - |
| dc.creator | Jiménez Rey, Elizabeth Miriam | - |
| dc.creator | Grossi, María Delia | - |
| dc.creator | Vallejos, Félix Anibal | - |
| dc.creator | Servetto, Arturo Carlos | - |
| dc.creator | Orellana, Rosa Beatriz | - |
| dc.creator | Plastino, Ángel Luis | - |
| dc.date | 2018-03-22T13:06:49Z | - |
| dc.date | 2018-03-22T13:06:49Z | - |
| dc.date | 2005-12 | - |
| dc.date | 2018-03-06T15:11:04Z | - |
| dc.date.accessioned | 2019-04-29T15:36:03Z | - |
| dc.date.available | 2019-04-29T15:36:03Z | - |
| dc.date.issued | 2005-12 | - |
| dc.identifier | Perichinsky, Gregorio; Jiménez Rey, Elizabeth Miriam; Grossi, María Delia; Vallejos, Félix Anibal; Servetto, Arturo Carlos; et al.; Taxonomic evidence applying intelligent information algorithm and the principle of maximum entropy: the case of asteroids families; Facultade Cenecista de Campo Largo; Revista Electrônica de Sistemas de Informacao; 4; 2; 12-2005; 1-14 | - |
| dc.identifier | 1677-3071 | - |
| dc.identifier | http://hdl.handle.net/11336/39609 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/297469 | - |
| dc.description | The Numeric Taxonomy aims to group operational taxonomic units in clusters (OTUs or taxons or taxa), using the denominated structure analysis by means of numeric methods. These clusters that constitute families are the purpose of this series of projects and they emerge of the structural analysis, of their phenotypical characteristic, exhibiting the relationships in terms of grades of similarity of the OTUs, employing tools such as i) the Euclidean distance and ii) nearest neighbor techniques. Thus taxonomic evidence is gathered so as to quantify the similarity for each pair of OTUs (pair-group method) obtained from the basic data matrix and in this way the significant concept of spectrum of the OTUs is introduced, being based the same one on the state of their characters. A new taxonomic criterion is thereby formulated and a new approach to Computational Taxonomy is presented, that has been already employed with reference to Data Mining, when apply of Machine Learning techniques, in particular to the C4.5 algorithms, created by Quinlan, the degree of efficiency achieved by the TDIDT family´s algorithms when are generating valid models of the data in classification problems with the Gain of Entropy through Maximum Entropy Principle. | - |
| dc.description | Fil: Perichinsky, Gregorio. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina | - |
| dc.description | Fil: Jiménez Rey, Elizabeth Miriam. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina | - |
| dc.description | Fil: Grossi, María Delia. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina | - |
| dc.description | Fil: Vallejos, Félix Anibal. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina | - |
| dc.description | Fil: Servetto, Arturo Carlos. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina | - |
| dc.description | Fil: Orellana, Rosa Beatriz. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Plastino, Ángel Luis. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Facultade Cenecista de Campo Largo | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://doi.org/10.21529/RESI.2005.0402006 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://www.periodicosibepes.org.br/index.php/reinfo/article/view/160 | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.source.uri | http://hdl.handle.net/11336/39609 | - |
| dc.subject | Asteroids | - |
| dc.subject | Numeric taxonomy | - |
| dc.subject | Intelligent information algorithms | - |
| dc.subject | Entrophy | - |
| dc.subject | Astronomía | - |
| dc.subject | Ciencias Físicas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | Taxonomic evidence applying intelligent information algorithm and the principle of maximum entropy: the case of asteroids families | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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