摘要
随着信息技术的高速发展,人们积累的数据量急剧增长,如何从海量的数据中提取有用的知识成为当务之急。数据挖掘就是为顺应这种需要应运而生发展起来的数据处理技术。数据挖掘(Data Mining)是从存放在数据库、数据仓库或其他信息库中的大量数据中挖掘有趣知识的过程。数据挖掘算法和可视化工具适用于挖掘数据中的重要模式,并且提供有价值的预测,它是当代人工智能、统计学等技术在数据库领域中的应用。
With the rapid development of information technology, the amount of accumulated data of people is increasing sharply. How to extract useful knowledge from vast amounts of data become imperative. Data mining data is a processing techniques that came into being developed to comply with this requirement. Data Mining （Data Mining） is a process that excavating interesting knowledge from large data stored in the database, data warehouse or other repository. Data mining algorithms and visualization tools suitable for the important model in data mining, and provide valuable forecasts, which is the application of contemporary artificial intelligence, statistical techniques in the database field.
出处
《价值工程》
2014年第9期182-183,共2页
Value Engineering
关键词
数据挖掘
决策树
聚类分析
data mining
decision-making tree
cluster analysis
