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" Aiguillage de requetes de forage de donn6es : une approche baske sur la m6ta-classification.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 153586
Doc. No : ET25378
Main Entry : DOMINIC GENEST
Title Proper : Aiguillage de requetes de forage de donn6es : une approche baske sur la m6ta-classification.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Data mining may he achieved using different machine-learning techniques. Sinceeach of these algorithms is better at extracting knowledge for a particular type of data,choosing the right tcchnique for the right kind of database or problcni is a challcngc.Machine-learning algoritlirris each have strengths and weaknesses for certain types ofknowledge discovery problems, so some of them will show a better.
Subject : Electericl tess
: برق
electronic file name : TL49630.pdf
Title and statement of responsibility and : Aiguillage de requetes de forage de donn6es : une approche baske sur la m6ta-classification.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL49630.pdf
TL49630.pdf
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