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59922

Visualizing Association Rules of Analyzed XML Semantic Structured Text

Article

Last updated: 24 Dec 2024

Subjects

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Tags

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Abstract

No doubt that the whopping size of the available information on the internet gets the user quite confused when he deals
with that bulk of information. The new mining techniques are built to solve that problem and to enable the user to get and
understand the information patterns; one of these techniques is information visualization. In this paper a new information
visualization model is built upon the results of the association rule technique which is implemented on the XML text-based
documents. End results show that in the future we can perceive enormous size of information and get its hidden knowledge in
small time.

DOI

10.21608/ejle.2014.59922

Keywords

XML, Information Visualization, classification, Association Rules

Authors

First Name

Zaki

Last Name

Fayed

MiddleName

Taha

Affiliation

Faculty of Computer and Information Technology, Ain Shams University

Email

ztfayed@cis.asu.edu.eg

City

Cairo, Egypt

Orcid

-

First Name

Mohamed

Last Name

Abdallah

MiddleName

M.

Affiliation

Computer Science Department at Faculty of Science, Minia University, Egypt.

Email

mas_m4@hotmail.com

City

City, Egypt

Orcid

-

Volume

1

Article Issue

2

Related Issue

8936

Issue Date

2014-09-01

Receive Date

2014-06-10

Publish Date

2014-09-01

Page Start

11

Page End

18

Print ISSN

2356-8208

Online ISSN

2356-8216

Link

https://ejle.journals.ekb.eg/article_59922.html

Detail API

https://ejle.journals.ekb.eg/service?article_code=59922

Order

2

Type

Original Article

Type Code

1,039

Publication Type

Journal

Publication Title

The Egyptian Journal of Language Engineering

Publication Link

https://ejle.journals.ekb.eg/

MainTitle

Visualizing Association Rules of Analyzed XML Semantic Structured Text

Details

Type

Article

Created At

22 Jan 2023