خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
Document Type : Latin Dissertation
Language of Document : English
Record Number : 149689
Doc. No : ET21481
Main Entry : Waleed A. Zaghloul
Title Proper : TEXT MINING USING NEURAL NETWORKS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The recent advances in information and communication technologies (ICT) have resultedin unprecedented growth in available data and information. Consequently, intelligentknowledge creation methods are needed. Organizations need efficient intelligent textmining methods for classification, categorization and summarization of informationavailable at their disposal. Neural Networks have successfully been used in a wide varietyof classification problems.The purpose of this dissertation is two-fold. First, applying neural networks in textmining. Second, dramatically reducing the document size by using only the summary(abstract) instead of the whole document without affecting performance. To achieve thesegoals several research questions had to be answered. For example, how can a documentbe presented in a format suitable to neural networks? Also, how and how much can adocument be reduced in sizetested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44651.pdf
Title and statement of responsibility and : TEXT MINING USING NEURAL NETWORKS [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)