Applying the model to social network datasets classification can fully capture the dependencies among them, thus effectively improve the accuracy of classification.
将该模型应用于社会网络数据分类任务中，可以充分捕捉数据间的依赖关系，从而有效提高数据分类的准确度。
The near neighbor pair query of the datasets in the network has important application in geographical information systems, query in the network and spatial database.
网络环境下的数据集中的近邻对查询在地理信息系统、网络查询和空间数据库等领域有着重要的应用。
The association analysis method can be applied to analyzing the microarray datasets, mining association rules of genes, and then constructing gene regulatory network.
关联分析方法用于分析微阵列数据集基因间相关联系，生成关联规则，进而构建基因调控网络。
Secondly, an efficient algorithm FCLBN for learning Bayesian network from extremely small datasets is proposed.
其次，建立了一种小规模数据集下学习贝叶斯网络的有效算法FCLBN。
This thesis is about the study on learning Bayesian Network from extremely large or small datasets and its application.
本文对极大或极小数据集下的贝叶斯网络学习进行了研究，并提出了相关的解决方案。
This thesis is about the study on learning Bayesian Network from extremely large or small datasets and its application.
本文对极大或极小数据集下的贝叶斯网络学习进行了研究，并提出了相关的解决方案。
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