基于向量机的次优化浮动顺序算法FFSM的应用-Efficient Mining of Frequent Subgraph in the Presence of Isomorphism

基于向量机的次优化浮动顺序算法向量机的FFSM运用-Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism

浮动顺序搜索算法搜索特征空间生成候选子集-Sequential floating search algorithm to search a subset of the feature space generated candidate

用于图集上子图搜索的代码，gSpan和FFSM的源码，都是在linux下运行，其中gSpan包括直接可以用shell运行的二进制文件和一个C&matlab版本，FFSM是C&matlab版本-Atlas subgraph search for the code, gSpan and FFSM source, are run under linux, which can be used directly gSpan including binaries and shell to run a C &