In the paper, based on hyper graph theory, a hypergraph model is proposed, which is useful for spatial data mining.
该文基于超图理论提出了超图模型并将其用于空间数据挖掘。
Some experimental results for the matching based on charity algorithm are then presented, with open issues and potential applicability in the context of hyper graph left as discussions.
给出了一些应用慈善算法进行偶图匹配的重要实验结果，并对慈善算法存在的问题和在超图等研究领域的潜在应用进行了讨论。
While, the theory of spatial relationships of hyper graph model is improved. It can solve the problems on the spatial relations in space-time object and the relations among spatiotemporal objects.
而对超图模型空间关系理论的改进更好地解决了时空对象的空间关系和时空对象之间关系的问题。
An investigation of hyper-heuristic approach upon a set of widely used constructive heuristics(graph coloring heuristics) in timetabling is presented.
在此基础上提出了一种基于多个图染色启发式规则的模拟退火超启发式算法。
Besides, in order to facilitate applications to check affectivity and consistency of this model, a formal concept model based on hyper-graph data structure is proposed.
同时，为使高层应用易于对模型进行有效性和一致性检查，采用超图数据结构形式化地定义了上述模型的概念模型。
Besides, in order to facilitate applications to check affectivity and consistency of this model, a formal concept model based on hyper-graph data structure is proposed.
同时，为使高层应用易于对模型进行有效性和一致性检查，采用超图数据结构形式化地定义了上述模型的概念模型。
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