ROLE OF DATA MINING IN E-GOVERNMENT FRAMEWORK

Reem Abdul Hussein,Muayad Croock,Salih Al-Qaraawi

doi:10.25195/ijci.v44i2.50

Reem Abdul Hussein, Muayad Croock + Show 1 more

Open Access

https://doi.org/10.25195/ijci.v44i2.50

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Abstract

In e-government, the mining techniques are considered as a procedure for extracting data from the related webapplication to be converted into useful knowledge. In addition, there are different methods of mining that can be applied to differentgovernment data. The significant ideas behind this paper are to produce a comprehensive study amongst the previous research workin improving the speed of queries to access the database and obtaining specific predictions. The provided study compares datamining methods, database management, and types of data. Moreover, a proposed model is introduced to put these different methodstogether for improving the online applications. These applications produce the ability to retrieve the information, matching keywords,indexing database, and performing the prediction from a vast amount of data.

Highlights

The government services have been produced to facilitate the life requirements
The database is the backbone of constructing the e-government infrastructure for offering better accessing for demanded data and managing the services delivery to people
It is important to note that the database faces many challenges with incremental data, such as difficult to analysis, recognizing, interpreting vast data. These problem had been solved by data mining technologies that are able to extract the new knowledge, retrieve on-demand, and prediction to make a decision [3], [4]

Summary

INTRODUCTION

The government services have been produced to facilitate the life requirements. It transform the services from traditional into electronic copy in two major paths: information technology and communication (ITCO) as well as the internet [1]. It is important to note that the database faces many challenges with incremental data, such as difficult to analysis, recognizing, interpreting vast data. These problem had been solved by data mining technologies that are able to extract the new knowledge, retrieve on-demand, and prediction to make a decision [3], [4]. The mining methods can be more effective when they are combined with machine learning, statistic method, database management, and artificial intelligence for improving results

RELATED WORK

THE INDEXING WITH DATA MINING TECHNIQUE

Time-Series databases

Apply Classification algorithm

THE PROPOSED MODEL

VI.CONCLUSION