International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Hierarchical Clustering Approach for Monitoring and Securing the Data in E-Government Systems , Authors : Hanaa. M. Said, Mohamed Hamdy, Rania El Gohary and Abdel-Badeeh M. Salem, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 6, November - December 2014

Title:
Hierarchical Clustering Approach for Monitoring and Securing the Data in E-Government Systems
Author Name:
Hanaa. M. Said, Mohamed Hamdy, Rania El Gohary and Abdel-Badeeh M. Salem
Abstract:
Abstract Security is one of the most important issues that face online egovernment services. Cyber-terrorism is one of the major terrorist threats posed to our world today. The strategies of "Frequencies", "logistic regression", and "Hierarchical Clustering" are useful approaches for monitoring and securing the data in e-government systems. This paper aims to apply the strategies of Frequencies, logistic regression, and Hierarchical clustering on a case study “Cairo Cleaning and Beautification Agency”, where streets coding, areas, neighborhoods and services were collected and stored through a database. This includes relational, transactional, and advanced database systems, data warehouses, flat files, and the advanced World-Wide Web. Database systems include object-oriented and object-relational databases and specific application-oriented databases. The results showed that, the hierarchical clustering approach is a robust technique that enables the decision-maker to measure the extent of data securing, and the provided services. Keywords:- Government Cyber space, Cyber security, Frequencies, the logistic regressions, Hierarchical Clustering.
Cite this article:
Hanaa. M. Said, Mohamed Hamdy, Rania El Gohary and Abdel-Badeeh M. Salem , " Hierarchical Clustering Approach for Monitoring and Securing the Data in E-Government Systems " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 6, November - December 2014 , pp. 085-091 , ISSN 2278-6856.
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