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首页> 外文期刊>International journal of computer science and network security >Mining Significant Patterns from Graph Traversals by Considering Frequency and Average Weight
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Mining Significant Patterns from Graph Traversals by Considering Frequency and Average Weight

机译:通过考虑频率和平均权重从图遍历中挖掘重要模式

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Graph traversal is a sequence of vertices along edges on a graph, by which a lot of real world problems can be modeled. Mining patterns from such traversals has been found useful in several applications such as Web mining. However, previous works consider
机译:图遍历是沿着图边缘的一系列顶点,通过这些顶点可以对许多现实世界中的问题进行建模。已经发现,从这种遍历中挖掘模式在诸如Web挖掘之类的多个应用程序中很有用。但是,以前的工作考虑

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