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Research of storage technique for C-Temporal Relation Datum Model based on improved genetic algorithm

机译:基于改进遗传算法的C-时态基准数据存储技术研究

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As there is datum redundancy in tradition database and temporal database in existence and the quantities of temporal database are increasing fleetly. We put forward compress storage tactics basing on improved genetic algorithm for temporal datum which combine compress technology in existence in order to settle datum redundancy in the course of temporal datum storage, and this means can enhance speed of removing datum redundancy and ratio of compress for temporal datum largely. Temporal datum of slow acting domain and momentary acting domain are accessed by using each from independence clock method and mutual clock method.We also bring forward strategy of gridding storage to resolve the problems of temporal datum rising rapidly.
机译:由于传统数据库和时态数据库中都存在数据冗余,因此时态数据库的数量正在迅速增加。基于改进的时间基准遗传算法,结合已有的压缩技术,提出了压缩存储策略,以解决临时基准存储过程中的基准冗余,提高了冗余数据的删除速度和临时基准的压缩率。基准面。分别从独立时钟方法和互时钟方法中分别访问慢作用域和瞬时作用域的时间数据。我们还提出了网格存储策略,以解决时间数据快速上升的问题。

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