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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临时关系基模型储存技术研究

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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:由于传统数据库中存在基准冗余和存在的时间数据库,并且时间数据库的数量迅速增加。我们提出了基于改进的临时基准遗传算法的压缩储存策略,该临时基准算法在存在的过程中结合了压缩技术,以便在时间基准存储过程中解决基准冗余,这意味着可以提高去除数据冗余的速度和时间的压缩速度基于基准。通过使用来自独立时钟方法和相互时钟方法的每个慢效域和瞬间作用域的时间基准。我们还提出了网格存储策略来解决迅速上升时间基准的问题。

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