将空间数据库转换成空间事务数据库是空间关联规则挖掘过程的关键步骤。
This paper is focused on the methods of the construction of spatial transaction database, which is a crucial ste Pin the spatial association rules mining.
db 2 pd提供了20多个选项显示关于数据库事务、表空间、表统计信息、动态sql、数据库配置和其他很多数据库细节的信息。
Db2pd provides more than 20 options to display information about database transactions, table Spaces, table statistics, dynamic SQL, database configurations, and many other database details.
当数据库中的项目数目较大且事务数量巨大时,频繁模式增长算法内存开销很大,可能导致内存空间不足的现象。
When there are a great many of items and transactions in the database, frequent-pattern growth algorithm needs more additional computer memory, which may cause the lack of memory.
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