| dc.creator | Rottoli, Giovanni Daián | |
| dc.creator | Merlino, Hernán Daniel | |
| dc.creator | García Martínez, Ramón | |
| dc.date | 2018-12-05T01:30:42Z | |
| dc.date | 2018-12-05T01:30:42Z | |
| dc.date | 2018 | |
| dc.date.accessioned | 2023-08-31T14:03:08Z | |
| dc.date.available | 2023-08-31T14:03:08Z | |
| dc.identifier | Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science 10868: 57-68 (2018) | |
| dc.identifier | http://hdl.handle.net/20.500.12272/3309 | |
| dc.identifier | https://doi.org/10.1007/978-3-319-92058-0_6 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8545653 | |
| dc.description | Detection of spatial outliers is a spatial data mining task aimed at discovering data observations that differ from other data observations within its spatial neighborhood. Some considerations that depend on the problem domain and data characteristics have to be taken into account for the selection of the data mining algorithms to be used in each data mining project. This massive amount of possible algorithm combinations makes it necessary to design a knowledge discovery process for detection of local spatial outliers in order to perform this activity in a standardized way. This work provides a proposal for this knowledge discovery process based on the Knowledge Discovery in Database process (KDD) and a proof of concept of this design using real world data. | |
| dc.description | Fil: Rottoli, Giovanni Daián. Universidad Nacional de Lanús; Argentina. | |
| dc.description | Fil: Merlino, Hernán Daniel. Universidad Nacional de Lanús; Argentina. | |
| dc.description | Fil: García Martinez, Ramón. Universidad Nacional de Lanús; Argentina. CIC Bs As; Argentina | |
| dc.description | Fil: Rottoli, Giovanni Daián. Universidad Tecnológica Nacional. Facultad Regional Concepción del Uruguay. Departamento Ingeniería en Sistemas de Información. Grupo de Investigación en Bases de Datos; Argentina. | |
| dc.description | Fil: Rottoli, Giovanni Daián. Universidad Nacional de La Plata; Argentina. | |
| dc.description | Peer Reviewed | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.rights | Rottoli, Giovanni Daián ; Merlino, Hernán Daniel ; García Martinez, Ramón | |
| dc.rights | No comercial con fines académicos | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | |
| dc.subject | Spatial outliers | |
| dc.subject | Local outliers | |
| dc.subject | Spatial data mining | |
| dc.subject | Knowledge discovery process | |
| dc.subject | Spatial clustering | |
| dc.title | Knowledge discovery process for detection of spatial outliers | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | info:ar-repo/semantics/artículo | |
