DocumentCode :
3578623
Title :
Cloud government- a proposed solution to better serve the nation
Author :
Memon, Adeel Akbar ; Chengliang Wang ; Naeem, Muhammad Rashid ; Aamir, Muhammad ; Ayoob, Muhammad
Author_Institution :
Sch. of Software Eng., Chongqing Univ., Chongqing, China
fYear :
2014
Firstpage :
39
Lastpage :
44
Abstract :
The main responsibility and duty of government employees is to serve the nation. We have proposed a combination of cloud computing solution and data mining to the third world countries to better serve the nations. We have focused data/statistics gathered from Pakistan as exemplary data. There are four provincial governments of Pakistan headed by the Chief Ministers and ministries/departments are headed by the ministers/department heads. Having the up to date and accurate information on finger tips is headache for the stakeholders as the existing system is manual (Paper) work. The main objective of the proposed solution is to provide the up to date and accurate information (knowledge) to the stakeholders on their finger tips providing them a dashboard displaying the information with the drill down/up facility to get information of the own will. The proposed solution is intended to be used by the governments of third world countries to better serve the nations. However; the proposed solution is quite in general and can be easily adopted by the private organizations currently using individual information systems at different locations.
Keywords :
cloud computing; data mining; government data processing; information systems; personnel; cloud computing solution; cloud government; data mining; government employees; information systems; private organizations; third world countries; Cloud computing; Data mining; Databases; Diseases; Government; Information systems; Information technology; Cloud computing; Data mining; Government; Information system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
Print_ISBN :
978-1-4799-4765-2
Type :
conf
DOI :
10.1109/CCIOT.2014.7062502
Filename :
7062502
Link To Document :
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