Reem Razzaq Abdul Hussein, Salih M. Al-Qaraawi, M. Croock
{"title":"ROLE OF DATA MINING IN E-GOVERNMENT FRAMEWORK","authors":"Reem Razzaq Abdul Hussein, Salih M. Al-Qaraawi, M. Croock","doi":"10.25195/IJCI.V44I2.50","DOIUrl":null,"url":null,"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.","PeriodicalId":53384,"journal":{"name":"Iraqi Journal for Computers and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iraqi Journal for Computers and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25195/IJCI.V44I2.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
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.