Aiming at the problem of data mining in distributed system, a novel and effective meta-mining method is presented.
针对分布式系统中的数据挖掘问题,提出了一种新颖高效的分布式元挖掘方法。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
针对协同过滤中的数据稀疏问题,提出了一种基于粗集的协同过滤算法。
A new SVM iterative algorithm is proposed, aiming at the problem that the speeds of learning and classifying are slow in large training set.
针对SVM方法在大样本情况下学习和分类速度慢的问题,提出了大样本情况下的一种新的SVM迭代训练算法。
应用推荐