Application Of Data Warehousing And Data Mining In E Government Pdf

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Implementation of Data Mining and Data Warehousing In E-Governance

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Application of Decision Support System in E-Government Abstract: With the extensive application of various e-government systems, the decision support system for e-government DSS for e-government is required urgently. How to construct an effective data platform to provide support for government decision-making is a complicated matter. This paper analyzes the framework of the DSS for E-government firstly, which totally includes four subsystems: data warehouse and its management system, model library and its management system, knowledge library and its management system, and human-computer interaction system.

e-Governance using Data Warehousing and Data Mining

Large amount of data is generated and disseminated by different government s at various levels of administration. It is important to integrate the different in terms of data sharing so that all s can work under a single controlling authority without repetition of work. It is important to develop a framework for creating a centralized nationwide data warehouse which has horizontal as well as vertical interconnections having limited accessibility at lower level authorities and can be fully accessed at the higher levels. Use of efficient Warehousing and Mining techniques may surely enhance government decision making capabilities. A nationwide warehouse model especially for n context has been proposed.

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E-government is a modern way that government department provides services for the public. This paper applies data mining technique in e-government construction by taking BHOOMI a project from government of Karnataka for helps to maintain and update the land records data systematically and securely. This can provide the better support for government decision, government department also provides the better services for public and achieves humanist truly. Unable to display preview.

Not a MyNAP member yet? Register for a free account to start saving and receiving special member only perks. Some of the data mining programs have been withdrawn; some are in operation; some have changed substantially in scope, purpose, and practice since they were launched; and others are still in development. This appendix briefly describes a number of the programs, their stated goals, and their current status as far as is known publicly.

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Data mining is a process of discovering patterns in large data sets involving methods at the intersection of machine learning , statistics , and database systems. The term "data mining" is a misnomer , because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction mining of data itself. The book Data mining: Practical machine learning tools and techniques with Java [8] which covers mostly machine learning material was originally to be named just Practical machine learning , and the term data mining was only added for marketing reasons.

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4 Comments

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  4. Alice R. 30.04.2021 at 06:55

    Mining applications [3][25]. Mining E-Governance Data Warehouse. Data warehouse is used for collecting, storing and analyzing. the data.