我们着眼于传统的事务处理和通过在动作集合上强制实行all-or-none语义来在许多动作间保持数据完整性的方法。
We looked at classical transaction processing and how it enables data integrity across a number of actions by forcing an all-or-none semantic to the set of actions.
实验结果表明,该方法较传统的精确匹配方法、模糊串匹配方法能更好地保存有用信息,提高了过滤结果的完整性和准确性。
The experiment result shows that our method is effective. Compared with the traditional methods, it has improved the integrity and veracity of filtering results.
实验结果表明,该方法较传统的精确匹配方法、模糊串匹配方法能更好地保存有用信息,提高了过滤结果的完整性和准确性。
The experiment result shows that our method is effective. Compared with the traditional methods, it has improved the integrity and veracity of filtering results.
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