Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/2921
Research center of Embrapa/Collection: Embrapa Informática Agropecuária - Artigo em anais de congresso (ALICE)
Date Issued: 2007
Type of Material: Artigo em anais de congresso (ALICE)
Authors: MASSRUHA, S. M. F. S.
MARCHI, R.
SILVA, L. M. C. da
SOUZA, K. X. S. de
OLIVEIRA, L. H. M. de
OLIVEIRA, S. R. de M.
MORANDI, M. A. B.
Additional Information: SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; RODRIGO MARCHI, Bolsista CNPq; LUIZ MANOEL SILVA CUNHA, CNPTIA; KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; LEANDRO HENRIQUE MENDONÇA DE OLIVEIRA, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; MARCELO AUGUSTO B. MORANDI, Bolsista CNPq.
Title: An approach based on text mining for knowledge acquisition in diagnostic systems.
Publisher: In: BIENNIAL CONFERENCE OF EUROPEAN FEDERATION OF IT IN AGRICULTURE, 6., 2007, Glasgow. Environmental and rural sustainability through ICT: proceedings. Glasgow: Glasgow Caledonian University, 2007. 6 p.
Language: en
Notes: EFITA/WCCA 2007.
Keywords: Mineração de texto
Aprendizado de máquina
Doenças do milho
Text mining
Knowledge discovery
Predictions
Corn diseases
Machine Learning.
Description: Introduction. Methodology. Data preparation phase. Information extraction and mining phase. A case study with corn diseases. The results and discussion.
Data Created: 2007-08-23
Appears in Collections:Artigo em anais de congresso (CNPTIA)

Files in This Item:
File Description SizeFormat 
PLApproachMassruhaEFITA2007.pdf208,66 kBAdobe PDFThumbnail
View/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace