症状 在进行应用适配过程中会遇到用户使用oracle的SYS.UTL_MATCH.edit_distance_similarity自带函数,进行比较两个字符串的相似度,但在替换为瀚高数据库后,会产生函数不存在的问题。 问题原因 瀚高数据库内核未兼容oracle的SYS.UTL_MATCH.edit_distance_similarity,暂未支持。所以需要通过瀚高数据库编写自定义函数的方式...
oracle版本11.2 在网上看到计算两个字符串相似的函数 UTL_MATCH.edit_distance_similarity 但是经过实测结果和我预想中的差距很大 以下是查询语句 selectUTL_MATCH.edit_distance_similarity('附件11','通用')fromdual;selectUTL_MATCH.edit_distance_similarity('分类2-1','通用')fromdual; 查询结果为 13 12 但是用...
Edit DistanceBehavioral SimilarityAlthough several approaches have been proposed to compute the similarity between process models, they have various limitations. We propose an approach named TAGER (Transition-lAbeled Graph Edit distance similarity MeasuRe) to compute the similarity based on the edit ...
It calls for new parallel algorithms to enable multi-core processors to meet the high performance requirement of similarity search and join on big data. To this end, in this paper we propose parallel algorithms to support efficient similarity search and join with edit-distance constraints. We ...
java-string-similarity A library implementing different string similarity and distance measures. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. Check the summary table below for the comp...
have a similarity above a "bonus threshold". It uses the same method as proposed by Winkler for the Jaro distance, and the reasoning behind it is that these string pairs are very likely spelling variations or errors, and they are more closely linked than the edit distance alone would ...
("A Faster Algorithm Computing String Edit Distances"). This method splits the matrix in blocks of size t x t. Each possible block is precomputed to produce a lookup table. This lookup table can then be used to compute the string similarity (or distance) in O(nm/t). Usually, t is ...
Moreover, efficient verification of string pairs is needed to speed up the entire string similarity join process. We propose a novel framework that addresses these requirements through the use of edit distance constraints. The Landmark-Join framework has two functions that reduce two kinds of ...
Heterogeneous information networkSimilarity search Graph edit distanceMetapathLower boundUpper boundIn this big data age, extensive requirements emerge in data management and data analysis fields. Heterogeneous information networks (HIN) are widely used as data models due to their rich semantics in......
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ... - GitHub - leiqu/java-string-similarity: Implementation of vari