Data mining, Bongard problems, and the concept of pattern conception

dc.contributorFGV
dc.creatorLinhares, Alexandre
dc.date.accessioned2018-10-25T18:23:26Z
dc.date.accessioned2022-11-03T20:16:45Z
dc.date.available2018-10-25T18:23:26Z
dc.date.available2022-11-03T20:16:45Z
dc.date.created2018-10-25T18:23:26Z
dc.date.issued2002
dc.identifier1853128309
dc.identifierhttp://hdl.handle.net/10438/25213
dc.identifier2-s2.0-2942677482
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5035181
dc.description.abstractThe concept of pattern conception was discussed for categorization of data mining architectures. The difference between pattern conception and pattern recognition models lead to the categorization of information processing architectures. The raw data was perceived in terms of specific 'higher-level' structures. The newly activated concepts created top-down pressure to search new possibilities. In long term memory, the activation of a concept propagated activation to related concepts.
dc.languageeng
dc.publisherWITPress
dc.relationManagement Information Systems
dc.rightsopenAccess
dc.sourceScopus
dc.subjectActivation analysis
dc.subjectData acquisition
dc.subjectData mining
dc.subjectData processing
dc.subjectGenetic algorithms
dc.subjectPattern matching
dc.subjectPressure effects
dc.subjectStatistical methods
dc.subjectBongard problems
dc.subjectInferring rules
dc.subjectLetter-string analogies
dc.subjectPattern conception
dc.subjectPattern recognition
dc.titleData mining, Bongard problems, and the concept of pattern conception
dc.typeConference Proceedings


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