The incremental data mining algorithm based on association rules 一种基于关联规则的增量数据挖掘算法
Npsp : an efficient algorithm with incremental data mining for mining sequential patterns 一种高效的序列模式增量挖掘算法
Provide the service on a subscription or pay - per - view basis to generate incremental data revenue 为终端用户提供订阅或按次计费服务来产生数据增值业务。
The volume of incremental data changes might be low , but the volume of data initially distributed might be high 增量数据更改的量可能很小,但初始分发的数据量可能很大。
It applies the initial snapshot to the subscriber and moves and reconciles incremental data changes that occur 它将初始快照应用于订阅服务器,并移动和协调所发生的增量数据更改。
If the table was not empty before the bulk import operation , the cost of revalidating the constraint may exceed the cost of applying check constraints to the incremental data 如果在大容量导入操作之前表不为空,则重新验证约束的开销可能超过对增量数据应用check约束的开销。
If the table was nonempty before the bulk import operation , the cost of revalidating the constraint may exceed the cost of applying check constraints to the incremental data 如果在大容量导入操作之前表为非空状态,则重新验证约束的开销可能超过将check约束应用于增量数据的开销。
It not only could solve the problem of learning on the incremental data sets , but also could considerably reduce the size of traditional decision matrix and avoid the repeated computation in traditional decision matrix algorithm 这不仅解决了动态数据环境下归纳学习问题,而且能降低矩阵空间规模,避免了传统决策矩阵算法中的重复计算。
Therefore , a study of incremental data mining algorithm is urgently needed . incremental data mining only modifies rule sets when database is updated , which takes advantage of previous calculation result and prevents knowledge extraction from the very beginning 把增量算法与数据库的更新结合在一起,渐增地进行知识的更新、修正和加强先前业已发现的知识,这样可以不必重新挖掘全部数据。
In order to handle dynamic data set in database of industrial field , several incremental algorithms including nbia and fup are discussed . an improved fast update algorithm with level wise search structure based on fup algorithm is proposed for the incremental data 针对工业现场数据库动态更新特点,分析了nbia和fup两种增量挖掘算法,提出了一种新的在增量数据库基础上进行分层搜索的快速更新算法ifup 。