数据挖掘在日常生活中的应用

数据挖掘是KDD中特定情况下的一个步骤。大部分人是通过啤酒+尿布的案例认识到数据挖掘,不少人也通过这个有趣的故事开始接触数据挖掘。大数据能够让企业测量出之前被认为无法计算的信息。使用这些信息,分析师能发现新的工业模式并能更好的了解客户的动机,兴趣爱好和讨厌的东西。更多得了解什么能让客户做出选择,能够为通向新的商业机会创造出更多的可能,也能够让企业发布出令客户感兴趣的内容和产品。比如现在的“瀑布流”,就是企业根据网民平常浏览互联网信息的类型,基于用户搜索习惯、兴趣爱好、归属地、年龄、区域、商圈等等大数据信息,挖掘并分析出来跟本人相匹配的广告信息推送给你。

Data mining is a step in a specific situation in KDD.Most people got to know about data mining through the beer and diapers case,and a lot of people got to know about data mining through this interesting story.Big data allows companies to measure information that was previously considered uncomputable.Using this information,analysts can discover new industry patterns and better understand customers'motivations,interests and annoyances.Learning more about what enables customers to make choices creates more possibilities for new business opportunities and enables companies to deliver content and products that will be of interest to customers.For example,the current"waterfall flow"is that enterprises mine and analyze the advertising information matching themselves to you based on the user's search habits,interests,place of residence,age,region,business circle and other big data based on the type of Internet information that netizens usually browse.