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128927

Neural Networks Based Data Mining Techniques.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Electronics and Communications Engineering

Abstract

The rapid increase in web sites has created large volumes of data in web environment, which generates a problem of how to extract and gain useful knowledge from such data. Extracting such knowledge helps to discover, understand and predict user behaviors based on his interaction with the website. 
This paper introduces two neural network based systems, one for web visitor recognition according to their web logs pattern, and the other for web visitor classification according to the visited pages. This will introduce rapid services and save user time with web through a database connected to these neural networks Such system can be used to improve efficiency and effectiveness in searching for information on the web. Complete architecture of the networks is given based on supervised and unsupervised learning paradigms. Experiments have been carried out in order to validate this approach. 

DOI

10.21608/bfemu.2020.128927

Keywords

Web Mining, Machine Learning, Artificial Neural Networks

Authors

First Name

M.

Last Name

Abdalla

MiddleName

-

Affiliation

Electronics and Communication Engineering Department., Faculty of Engineering., Zagazig University., Zagazig., Egypt.

Email

-

City

Zagazig

Orcid

-

Volume

32

Article Issue

4

Related Issue

19078

Issue Date

2007-12-01

Receive Date

2007-10-11

Publish Date

2020-12-10

Page Start

65

Page End

75

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 32_Issue 4_Pages 65-75.pdf

PDF . 503.0kB

Link

https://bfemu.journals.ekb.eg/article_128927.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=128927

Order

11

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023