摘要
为了提高Java内存数据库快速检索能力,提出基于双向参考索引的Java内存数据库快速检索方法。采用字典序排序存储机制构建Java内存数据库的优化存储结构模型,结合自定义数据处理逻辑结构设计方法,对Java内存数据库检索过程中的特征提取和模糊聚类处理,采用决策树分类方法构建Java内存数据库索引的双向参考索引决策模型,通过索引表名称、索引列等信息实现对检索过程中的寻优控制,根据索引表和值表相关性关系,实现对Java内存数据库快速检索过程中的智能信息定位。仿真结果表明,采用本方法进行Java内存数据库检索的速度较快,索引精度较高,有效提高了Java内存数据库索引的查全率和查准率。
In order to improve the fast retrieval ability of Java memory database,a fast retrieval method of Java memory database based on bidirectional reference index was proposed in this study.The optimized storage structure model of Java in memory database was constructed by dictionary ordering storage mechanism.Combined with the design method of user-defined data processing logical structure,the feature extraction and fuzzy clustering processing in the retrieval process of Java in memory database were carried out.The bidirectional reference index decision model of Java in memory database index was constructed by using decision tree classification method.According to the correlation between the index table and the value table,the intelligent information location in the process of rapid retrieval of Java memory database was realized.The simulation results showed that the retrieval speed of this method is faster and the index precision is higher,which effectively improves the recall and precision of the Java memory database index.
作者
苏荣聪
董玉霞
SU Rong-cong;DONG Yu-xia(School of Software,Quanzhou University of Information Engineering,Quanzhou,352000,Fujian)
出处
《蚌埠学院学报》
2021年第2期52-55,102,共5页
Journal of Bengbu University
基金
福建省中青年教师教育科研项目(JAT160611)。
关键词
双向参考索引
Java内存数据库
快速检索
模糊聚类
字典序排序
bidirectional reference index
Java memory database
quick retrieval
fuzzy clustering
lexicographic sorting