Except for setting the name , the data type , and the data type properties of columns in new destination tables and files , the sql server import and export wizard supports no column - level transformations 除了支持在新的目标表和目标文件中设置列的名称、数据类型和数据类型属性之外， sql server导入和导出向导不支持任何列级转换。
Most browsers will send utf - 8 encoded data if you mark your web pages with the appropriate content - type , and just to be sure , there is an encoding type attribute that can be applied to an html form tag 如果用适当的content - type标记web页面，那么大多数浏览器将发送utf - 8编码的数据，可以确信，一定有一个编码类型属性可应用于html form标签。
This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed , and also mainly discusses the algorithm of cluster based on grid - density , then the algorithm will be applied to the system of insurance ? among the various algorithms of cluster put forward , they are usually based on the concepts of distance cluster o whether it is in the sense of traditional eculid distance such as " k - means " or others o these algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o further more , the number of clusters they can find usually depends on users " input 0 but this task is often a very tough one for the user0 at the same time , different inputs will have great effect on the veracity of the cluster ' s result 0 in this paper the algorithm of cluster based on grid - density will be discussed o it gives up the concepts of distance < , it can automatically find out all clusters in that subspaceo at the same time , it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o 在以往提出的聚类算法中，一般都是基于“距离( distance ) ”聚类的概念。无论是传统的欧氏几何距离( k - means )算法，还是其它意义上的距离算法，这类算法的缺点在于处理大数据集、高维数据集和不同类型属性时往往不能奏效，而且，发现的聚类个数常常依赖于用户指定的参数，但是，这往往对用户来说是很难的，同时，不同参数往往会影响聚类结果的准确性。在本文里要讨论的基于网格密度的聚类算法，它抛弃了距离的概念，它的优点在于能够自动发现存在聚类的最高维子空间；同时具有很好的处理高维数据和大数据集的数据表格的能力。
