[1] Gomaa W H, Fahmy A A. A survey of text similarity approaches[J]. International Journal of Computer Applications, 2013,68(13):1318.
[2] Kwon O, Wen Yixing. An empirical study of the factors affecting social network service use[J]. Computers in Human Behavior, 2010,26(2):254263.
[3] Levenshtein V I. Binary codes capable of correcting spurious insertions and deletions of ones[J]. Problems of Information Transmission, 1965,1(1):817.
[4] 刘辉平,金澈清,周傲英. 一种基于模式的实体解析算法[J]. 计算机学报, 2015,38(9):17961808.
[5] Li Yujian, Liu Bo. A normalized Levenshtein distance metric[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007,29(6):10911095.
[6] Putra M E W, Suwardi I S. Structural offline handwriting character recognition using approximate subgraph matching and Levenshtein distance[J]. Procedia Computer Science, 2015,59:340349.
[7] 邵清,叶琨. 基于编辑距离和相似度改进的汉字字符串匹配[J]. 电子科技, 2016,29(9):711.
[8] 张润梁,牛之贤. 基于基本操作序列的编辑距离顺序验证[J]. 计算机科学, 2016,43(S1):5154.
[9] Popescu D A, Nicolae D. Determining the similarity of two Web applications using the edit distance[C]// Proceedings of the 6th International Workshop on Soft Computing Applications. 2014,1:681690.
[10]Crochemore M, Iliopoulos C S, Langiu A, et al. The longest common substring problem[J]. Mathematical Structures in Computer Science, 2017,27(2):277295.
[11]Joachims T. Text categorization with support vector machines: Learning with many relevant features[C]// Proceedings of the 10th European Conference on Machine Learning. 1998:137142.
[12]Herrera F, HerreraViedma E, Martinez L. A fuzzy linguistic methodology to deal with unbalanced linguistic term sets[J]. IEEE Transactions on Fuzzy Systems, 2008,16(2):354370.
[13]刘冬瑞,刘东升,张丽萍,等. 基于贝叶斯网络预测克隆代码质量[J]. 计算机科学, 2017,44(4):165168.
[14]Schumann S, Bühligen U, Neumuth T. Distance measures for surgical process models[J]. Methods of Information in Medicine, 2013,52(5):422431.
[15]Tang Jie, Yao Limin, Zhang Duo, et al. A combination approach to Web user profiling[J]. ACM Transactions on Knowledge Discovery from Data, 2010,5(1): Article No. 2. |