2021
On the Similarity Search With Hamming Space Sketches
MÍČ, Vladimír a Pavel ZEZULAZákladní údaje
Originální název
On the Similarity Search With Hamming Space Sketches
Autoři
MÍČ, Vladimír (203 Česká republika, garant, domácí) a Pavel ZEZULA (203 Česká republika, domácí)
Vydání
Hershey, PA (USA), Intelligent Analytics With Advanced Multi-Industry Applications, od s. 97-127, 31 s. First edition, 1, 2021
Nakladatel
IGI Global
Další údaje
Jazyk
angličtina
Typ výsledku
Kapitola resp. kapitoly v odborné knize
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Odkazy
Kód RIV
RIV/00216224:14330/21:00121403
Organizační jednotka
Fakulta informatiky
ISBN
978-1-7998-4963-6
Klíčová slova anglicky
Similarity search;Hamming space;Sketch;Efficiency;Metric Space;Space Transformations
Změněno: 23. 5. 2022 13:16, Mgr. Michal Petr
Anotace
V originále
This chapter focuses on data searching, which is nowadays mostly based on similarity. The similarity search is challenging due to its computational complexity, and also the fact that similarity is subjective and context dependent. The authors assume the metric space model of similarity, defined by the domain of objects and the metric function that measures the dissimilarity of object pairs. The volume of contemporary data is large, and the time efficiency of similarity query executions is essential. This chapter investigates transformations of metric space to Hamming space to decrease the memory and computational complexity of the search. Various challenges of the similarity search with sketches in the Hamming space are addressed, including the definition of sketching transformation and efficient search algorithms that exploit sketches to speed-up searching. The indexing of Hamming space and a heuristic to facilitate the selection of a suitable sketching technique for any given application are also considered.
Návaznosti
EF16_019/0000822, projekt VaV |
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