一般来说，数据挖掘算法中涉及数据可以归为三种基本的数据类型：人口统计学数据、个体行为数据、心理或态度数据。
In general, there are three kinds of data source types, i. e., demographic data, in-dividual behavioral data and the psychographic or attitudinal data.
斯奇比斯基先生（Skibiski）说，感觉公司( Sense)只对整合的数据感兴趣而且他们正在寻求对群体模式的分析而非某个个体行为模式。
Mr. Skibiski says that Sense is interested only in aggregate data and that it’s looking for broad patterns, not the specific behavior of individuals.
这些活动数据体现的模式提供了一种了解人们行为的机会，包括个体、群体和社会行为。
The patterns of activity in that data offer a unique opportunity to learn about ourselves - individually, in groups and as a society.
运用个体时点固定效应的面板数据模型，构建比横截面数据模型更为真实的行为方程，并与传统的区位因素进行比较分析。
Also, the paper use an individual-time fixed panel data model to build a more real acts equation than the cross section data model, and compare with traditional factors.
运用个体时点固定效应的面板数据模型，构建比横截面数据模型更为真实的行为方程，并与传统的区位因素进行比较分析。
Also, the paper use an individual-time fixed panel data model to build a more real acts equation than the cross section data model, and compare with traditional factors.
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