Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact


Show simple item record

dc.date.accessioned 2012-11-16T14:43:25Z
dc.date.available 2012-11-16T14:43:25Z
dc.date.issued 1995-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24323
dc.description.abstract Frequently we become amazed with the increasing number of problems to be solved that fiourish while facing daily activities. Often, related to these problems we llave also an incredible amount oí data. Since we cannot allways afford time and resources to sol ve them, we keep on gathering and storing data in large databases, widening the gap between raw and interpreted data. At this point we should refiect about Polya's maxima "A great discovery solves a great problem" and realize that databases encompass the knowledge necessary for guiding the decision making process. The question that remains is how to organize and explore this knowledge. This paper presents sorne approaches to knowledge discovery in databases íound in the literature, analyzing issues in classifying and clustering large data sets. en
dc.format.extent 438-449 es
dc.language en es
dc.subject Knowledge Mining en
dc.title How to solve it by knowledge mining en
dc.type Objeto de conferencia es
sedici.creator.person Sampaio, Pedro Rafael Falcone es
sedici.description.note Eje: 2do. Workshop sobre aspectos teóricos de la inteligencia artificial es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 1995-10
sedici.relation.event I Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es

Download Files

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)