dc.creator | Ferrer Troyano, Francisco Javier | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Riquelme Santos, José Cristóbal | es |
dc.date.accessioned | 2016-07-06T09:22:18Z | |
dc.date.available | 2016-07-06T09:22:18Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Ferrer Troyano, F.J., Aguilar Ruiz, J.S. y Riquelme Santos, J.C. (2005). Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules. Journal of Universal Computer Science, 11 (11), 1835-1848. | |
dc.identifier.issn | 0948-695X | es |
dc.identifier.uri | http://hdl.handle.net/11441/43228 | |
dc.description.abstract | Visualization has become an essential support throughout the KDD process
in order to extract hidden information from huge amount of data. Visual data
exploration techniques provide the user with graphic views or metaphors that represent
potential patterns and data relationships. However, an only image does not always
convey high–dimensional data properties successfully. From such data sets, visualization
techniques have to deal with the curse of dimensionality in a critical way, as the
number of examples may be very small with respect to the number of attributes. In this
work, we describe a visual exploration technique that automatically extracts relevant
attributes and displays their ranges of interest in order to support two data mining
tasks: classification and feature selection. Through different metaphors with dynamic
properties, the user can re-explore meaningful intervals belonging to the most relevant
attributes, building decision rules and increasing the model accuracy interactively | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Graz University of Technology, Institut für Informationssysteme und Computer Medien | es |
dc.relation.ispartof | Journal of Universal Computer Science, 11 (11), 1835-1848. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Data mining | es |
dc.subject | Visual Data Exploration | es |
dc.subject | Connecting Segments | es |
dc.title | Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | http://www.jucs.org/doi?doi=10.3217/jucs-011-11-1835 | es |
dc.identifier.doi | http://dx.doi.org/10.3217/jucs-011-11-1835 | es |
idus.format.extent | 14 | es |
dc.journaltitle | Journal of Universal Computer Science | es |
dc.publication.volumen | 11 | es |
dc.publication.issue | 11 | es |
dc.publication.initialPage | 1835 | es |
dc.publication.endPage | 1848 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/43228 | |