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Increasing big data front end processing efficiency via locally sensitive Bloom filter for elderly healthcare

机译：通过本地敏感的Bloom过滤器提高老年人护理的大数据前端处理效率

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Cheng Y.; Jiang P.; Peng Yonghong;
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1. Accurate Counting Bloom Filters for Large-Scale Data Processing [J] . Wei Li, Kun Huang, Dafang Zhang, Mathematical Problems in Engineering . 2013,第pta8期

机译：用于大规模数据处理的精确计数布隆过滤器
2. Accurate Counting Bloom Filters for Large-Scale Data Processing [J] . WeiLi, KunHuang, DafangZhang, Mathematical Problems in Engineering: Theory, Methods and Applications . 2013,第5期

机译：用于大规模数据处理的精确计数布隆过滤器
3. Development of High-Efficiency n-Type Front and Back Contact Passivated Emitter and Rear Locally Diffused Solar Cells Using Atmospheric Pressure Chemical Vapor Deposition of Phosphosilicate Glass and Laser Processing [J] . Xia Yan, Ning Chen, Firdaus Bin Suhaimi, Physica status solidi . 2020,第11期

机译：利用大气压化学气相沉积磷硅酸盐玻璃和激光加工技术开发高效n型正面和背面接触钝化发射极和背面局部扩散太阳能电池
4. Increasing big data front end processing efficiency via locality sensitive Bloom filter for elderly healthcare [C] . Yongqiang Cheng, Ping Jiang, Yonghong Peng 2014 IEEE Symposium on Computational Intelligence in Big Data . 2014

机译：通过位置敏感的Bloom过滤器提高老年人护理的大数据前端处理效率
5. Improving the performance of parallel SPARQL query processing on Apache Spark using Bloom filters. [D] . Kolla, Venubabu. 2016

机译：使用Bloom过滤器提高Apache Spark上并行SPARQL查询处理的性能。
6. Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters [O] . David Pellow, Darya Filippova, Carl Kingsford -1

机译：使用k-mer布隆过滤器提高序列数据上的布隆过滤器性能
7. Increasing Power Efficiency of Multi-Core Network Processors through Data Filtering [O] . Gokhan Memik, William H. Mangione-smith 2002

机译：通过数据过滤提高多核网络处理器的功效
8. Smoothness-Increasing Accuracy-Conserving (SIAC) Filters for Post-Processing Unstructured Discontinuous Galerkin Fields. [R] . Kirby, R. M. 2015

机译：用于后处理非结构化不连续Galerkin场的平滑度增加精度守恒（sIaC）滤波器。

Increasing big data front end processing efficiency via locally sensitive Bloom filter for elderly healthcare

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