随着对大量结构化数据分析需求的增长，从图集合中挖掘频繁子图模式已经成为数据挖掘领域的研究热点。
With the increasing demand of massive structured data analysis, mining frequent subgraph patterns from graph datasets has been an attention-deserving field.
频繁模式挖掘是数据挖掘领域的一个重要方面，研究内容一般包括事务、序列、树和图。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.
频繁模式挖掘的研究对象包括事务、序列、树和图。
Frequent patterns mining involves mining transactions, sequences, trees and graphs.
频繁模式挖掘的研究对象包括事务、序列、树和图。
Frequent patterns mining involves mining transactions, sequences, trees and graphs.
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