Dynamic Path-Decomposed Tries
June 14, 2019 Β· Declared Dead Β· π ACM Journal of Experimental Algorithmics
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Authors
Shunsuke Kanda, Dominik KΓΆppl, Yasuo Tabei, Kazuhiro Morita, Masao Fuketa
arXiv ID
1906.06015
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.IR
Citations
8
Venue
ACM Journal of Experimental Algorithmics
Last Checked
4 months ago
Abstract
A keyword dictionary is an associative array whose keys are strings. Recent applications handling massive keyword dictionaries in main memory have a need for a space-efficient implementation. When limited to static applications, there are a number of highly-compressed keyword dictionaries based on the advancements of practical succinct data structures. However, as most succinct data structures are only efficient in the static case, it is still difficult to implement a keyword dictionary that is space efficient and dynamic. In this article, we propose such a keyword dictionary. Our main idea is to embrace the path decomposition technique, which was proposed for constructing cache-friendly tries. To store the path-decomposed trie in small memory, we design data structures based on recent compact hash trie representations. Experiments on real-world datasets reveal that our dynamic keyword dictionary needs up to 68% less space than the existing smallest ones, while achieving a relevant space-time tradeoff.
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