Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/2339
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMaji, Pradipta-
dc.date.accessioned2011-08-05T11:43:44Z-
dc.date.available2011-08-05T11:43:44Z-
dc.date.issued2008-
dc.identifier.citationNeurocomputing,V71,4-6,P787-800en_US
dc.identifier.urihttp://hdl.handle.net/10263/2339-
dc.language.isoenen_US
dc.subjectData miningen_US
dc.subjectPattern classificationen_US
dc.subjectNeural networken_US
dc.subjectDecision treeen_US
dc.subjectBioinformaticsen_US
dc.subjectDeoxyribonucleic aciden_US
dc.subjectGeneen_US
dc.titleEfficient design of neural network tree using a new splitting criterionen_US
dc.typeArticleen_US
Appears in Collections:Mathematics and Statistics

Files in This Item:
File Description SizeFormat 
Binder2.pdf2.76 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.