基于关联规则映射的生物信息网络多维数据挖掘算法分析

Analysis on Biological Information Network Multidimensional Data Mining Algorithm Based on Association Rule Mapping

要想对生物信息网络数据进行大范围的挖掘,所应用到的算法有很多不足之处,比如,精确度低,运行速度迟缓以及占内存等,基于这一背景,文章提出了一种能够对生物信息进行映射并关联的数据挖掘算法,这种算法不仅能够映射关联,确定网络数据集,还能够基于算法引入相对误差,使算法的精确性提高。通过构建数据集间的关联,能够对空间内的数据进行区分,达到更好的数据挖掘效果。

For the biological information network, want to a wide range of data mining is applied to the algorithm has many deficiencies, such as low precision, slow speed and memory, and so on.Based on this background, this paper proposes a data mining algorithm which can carry on the mapping and association for the biological information, this algorithm not only can be related to map, the network data sets, but also be based on the algorithm introduces the relative error, increase the accuracy of algorithm,By constructing the correlation between data sets, can distinguish the data within the space, achieve better effect of data mining.