文章基本信息

标题：Data Mining: An Overview
本地全文：下载
作者：Gurjit Kaur ; Lolita Singh
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 2)
出版社：Ayushmaan Technologies
摘要：Data mining is the process of extracting patterns from data. Basically Data mining is the analysis of observational data sets to find unsuspected associations and to sum up the data in new ways that are both clear and useful to the data owner .It is seen as an increasingly important tool by modern business to transform data into business intelligence giving an informational advantage. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve..Data mining is becoming increasingly common in both the private and public sectors. Industries such as banking, insurance, medicine, and retailing commonly use data mining to reduce costs, enhance research, and increase sales. While data mining represents a significant advance in the type of analytical tools currently available, there are limitations to its capability. One limitation is that although data mining can help reveal patterns and relationships, it does not tell the user the value or significance of these patterns. These types of determinations must be made by the user. A second limitation is that while data mining can identify connections between behaviors and/or variables, it does not necessarily identify a causal relationship. To be successful, data mining still requires skilled technical and analytical specialists who can structure the analysis and interpret the output that is created.
关键词：knowledge discovery; OLAP; knowledge representation; data;warehouses