Rapid development of applications in data mining

Vinay Deepa, J. Geetha
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引用次数: 22

Abstract

The development of Information Technology has generated large amount of databases and huge data in various areas. Loose coupling is adapted in Data Mining System, since it can fetch any portion of data stored in database by more flexibility and in efficient manner. Therefore the Data mining system can be classified according to the kinds of databases mined, the kinds of knowledge mined, the techniques used or the application adapted. The traditional method is used to analyse data manually for patterns for the extraction of knowledge. In Banking, Health care, marketing, Science there will be a data analyst to work with data and scrutinizing the final role of decisions. This work is done by Data Mining. Data mining application can be generic or domain specific. It allows reusability in a feasible way and finally it makes possible to build large and scalable system. Applications of Data mining in computer security are designed to meet the needs of a professional audience composed of researchers and practitioners in various fields. This paper gives the overview of Data mining system and few of its applications. Data mining is becoming a technology in activities as diverse as using historical data to predict the success of marketing.
数据挖掘的应用迅速发展
信息技术的发展在各个领域产生了大量的数据库和海量的数据。数据挖掘系统采用松耦合,可以更灵活、更高效地提取存储在数据库中的任意部分数据。因此,数据挖掘系统可以根据所挖掘的数据库类型、所挖掘的知识类型、所使用的技术或所适应的应用进行分类。传统的方法是人工分析数据,寻找模式,提取知识。在银行、医疗保健、市场营销和科学领域,将会有数据分析师处理数据并审查决策的最终作用。这项工作由数据挖掘完成。数据挖掘应用程序可以是通用的,也可以是特定于领域的。它以可行的方式实现可重用性,最终使构建大型可扩展系统成为可能。数据挖掘在计算机安全中的应用是为了满足各个领域的研究人员和从业人员组成的专业受众的需求而设计的。本文介绍了数据挖掘系统的概况及其应用。数据挖掘正在成为各种活动中的一种技术,如使用历史数据来预测营销的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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