File Name: application of data warehousing and data mining in government .zip
- Data Mining Tutorial: What is | Process | Techniques & Examples
- Applications of Data Mining in e-Governance: A Case Study of Bhoomi Project
- Data mining
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications provides the most comprehensive compilation of research available in this emerging and increasingly important field. This six-volume set offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than chapters contributed by over experts from 37 countries, this authoritative collection will provide libraries with the essential reference on data mining and warehousing.
Data Mining Tutorial: What is | Process | Techniques & Examples
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.
Applications of Data Mining in e-Governance: A Case Study of Bhoomi Project
Organizations have a common goal — to make better business decisions. A data warehouse, once implemented into your business intelligence framework, can benefit your company in numerous ways. A data warehouse:. By having access to information from various sources from a single platform, decision makers will no longer need to rely on limited data or their instinct. A data warehouse standardizes, preserves, and stores data from distinct sources, aiding the consolidation and integration of all the data. Since critical data is available to all users, it allows them to make informed decisions on key aspects.
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. Information and Communication Technology plays dominant role in all business undertaken by the government. If all interactions with government can be done through single counter 24x7, without waiting in lines at the leisure of house than it will be highly convenient to all citizens.
Show all documents All the small and big industries are collecting and using data from various sources to identify their own business trends. Organizations understand the strengths and the weaknesses of their competitor improve their progressing speed towards the goal and expand their business empire. A data warehouse is a solution to a business problem not a technical problem. The data warehousing and data mining need to constantly overcome obstacles that are yet undefined and help the organization in decision making and improves the goodwill of organization.
Use of efficient Data Warehousing and Data Mining techniques may surely enhance government decision making capabilities. A nationwide.
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. The data warehouse is the core of the BI system which is built for data analysis and reporting.
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.
Data Mining is a process of finding potentially useful patterns from huge data sets. It is a multi-disciplinary skill that uses machine learning , statistics, and AI to extract information to evaluate future events probability. The insights derived from Data Mining are used for marketing, fraud detection, scientific discovery, etc.