Study on fci mining algorithm based on concept lattice 基于概念格的频繁闭项集增量挖掘算法研究
There is no closed items in the database . this command is not available 我翻译成:由于此数据库中已无关闭项,本命令无效。
Frequent closed itemsets rules imply all the association rules but greatly reduce the rules number 频繁闭项集规则蕴含了所有关联规则,数目却大为减少。
In order to tackle this problem , recent studies raised an effective alternative , mining frequent closed itemsets rules 为此,近年的研究提出一种有效的替代手段?挖掘频繁闭项集规则。
Not only realize scanning databases only one time and decrease i / o resources consumption , but also improve storage efficiency of data structure and time efficiency of mining algorithm 不仅实现了事务数据库的一次扫描,减少了i / o代价,而且提高了数据结构的存储空间效率和频繁闭项集挖掘算法的执行时间效率。