2018 IEEE International Conference on Big Data (Big Data) 2018
DOI: 10.1109/bigdata.2018.8622321
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Dynamic Partition Forest: An Efficient and Distributed Indexing Scheme for Similarity Search based on Hashing

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Cited by 3 publications
(1 citation statement)
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“…Lu et al [ 94 ] designed a new index structure called Dynamic Partition Forest (DPF) to hierarchically divide high collision areas with dynamic hashing, to cause self-adaptation of various data distributions. The results of the experiment showed that DPF increases accuracy by 3% to 5% within the same period compared to DPF without the multi-step search.…”
Section: Description Of the Set Of Work By Categorymentioning
confidence: 99%
“…Lu et al [ 94 ] designed a new index structure called Dynamic Partition Forest (DPF) to hierarchically divide high collision areas with dynamic hashing, to cause self-adaptation of various data distributions. The results of the experiment showed that DPF increases accuracy by 3% to 5% within the same period compared to DPF without the multi-step search.…”
Section: Description Of the Set Of Work By Categorymentioning
confidence: 99%