Since Neo4j is a database, each access to the graph structure - read, write, and traversal - are managed by an ACID transaction system.
由于Neo4j是个数据库，因此对图形结构的访问——读、写及遍历都是通过ACID事务系统进行管理的。
A concurrency control algorithm based on the transaction conflict graph is proposed.
提出了一种基于事务冲突图的并发控制方法。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.
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。
We will use the concept of a data hierarchy graph, constructed by means of transaction analysis, to characterize the relationship between a database partition scheme and database transactions.
我们会通过处理分析的方式，使用数据层次图的概念，以描述数据库分区结构和数据库处理的关系。
We will use the concept of a data hierarchy graph, constructed by means of transaction analysis, to characterize the relationship between a database partition scheme and database transactions.
我们会通过处理分析的方式，使用数据层次图的概念，以描述数据库分区结构和数据库处理的关系。
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