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Probabilistic Data Structures and Algorithms for Big Data Applications
Taschenbuch von Andrii Gakhov
Sprache: Russisch

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Beschreibung
Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers but with reliable ways to estimate possible errors. Fortunately, the potential losses and errors are fully compensated for by extremely low memory requirements, constant query time, and scaling, the factors that become essential in Big Data applications.
Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers but with reliable ways to estimate possible errors. Fortunately, the potential losses and errors are fully compensated for by extremely low memory requirements, constant query time, and scaling, the factors that become essential in Big Data applications.
Details
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9783347543225
ISBN-10: 334754322X
Sprache: Russisch
Autor: Gakhov, Andrii
Hersteller: gakhov
tredition
Maße: 13 x 155 x 220 mm
Von/Mit: Andrii Gakhov
Erscheinungsdatum: 11.08.2022
Gewicht: 0,37 kg
Artikel-ID: 122713622
Details
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9783347543225
ISBN-10: 334754322X
Sprache: Russisch
Autor: Gakhov, Andrii
Hersteller: gakhov
tredition
Maße: 13 x 155 x 220 mm
Von/Mit: Andrii Gakhov
Erscheinungsdatum: 11.08.2022
Gewicht: 0,37 kg
Artikel-ID: 122713622
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