File Name: application of data warehousing and data mining in e government .zip
A Data Warehousing DW is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources.
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 Some of the data mining programs have been withdrawn; some are in operation; some have changed substantially in scope, purpose, and practice since they were launched; and others are still in development.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. The programs described vary widely in scope, purpose, and sophistication.
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  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. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records cluster analysis , unusual records anomaly detection , and dependencies association rule mining , sequential pattern mining. This usually involves using database techniques such as spatial indices. These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system.
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. An agriculture data has been taken and mined to analyze the climatic and weather changes which affect the yield of the crop. This can help in predicting the climatic conditions so that better precautions can be taken to improve the agricultural output..
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.
Kalimantan No. Ashari, E. Mocka, B. Velicanu, M. Chaudhuri, S. Turban, E. Imhoff, C.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Arora and M. Arora , M.
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.
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