Probabilistic Data Structures and Algorithms for Big Data Applications
| Author | : Andrii Gakhov |
| Publisher | : Gakhov |
| Total Pages | : 0 |
| Release | : 2022 |
| ISBN-10 | : 334754322X |
| ISBN-13 | : 9783347543225 |
| Rating | : 4/5 (225 Downloads) |
Book Synopsis Probabilistic Data Structures and Algorithms for Big Data Applications by : Andrii Gakhov
Download or read book Probabilistic Data Structures and Algorithms for Big Data Applications written by Andrii Gakhov and published by Gakhov. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
