ALGORITHMS FOR BIG DATA /
"This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, provi...
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| Format: | text |
| Language: | eng |
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New Jersey : World Scientific,
2020
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| _version_ | 1796762714880606208 |
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| author | Feldman, Moran, author 636893 |
| author_facet | Feldman, Moran, author 636893 |
| author_sort | Feldman, Moran, author 636893 |
| collection | OCEAN |
| description | "This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms. To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background"-- |
| first_indexed | 2024-03-05T16:44:57Z |
| format | text |
| id | KOHA-OAI-TEST:593156 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T16:44:57Z |
| publishDate | 2020 |
| publisher | New Jersey : World Scientific, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:5931562021-11-17T01:04:16ZALGORITHMS FOR BIG DATA / Feldman, Moran, author 636893 textNew Jersey : World Scientific,©20202020eng"This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms. To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background"--Introduction to data stream algorithms -- Basic probability and tail bounds -- Estimation algorithms -- Reservoir sampling -- Pairwise independent hashing -- Counting distinct tokens -- Sketches -- Graph data stream algorithms -- The sliding window model -- Introduction to sublinear time algorithms -- Property testing -- Algorithms for bounded degree graphs -- An algorithm for dense graphs -- Algorithms for Boolean functions -- Introduction to Map-Reduce -- Algorithms for lists -- Graph algorithms -- Locality-sensitive hashing."This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms. To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background"--AlgorithmsURN:ISBN:9789811204739 |
| spellingShingle | Algorithms Feldman, Moran, author 636893 ALGORITHMS FOR BIG DATA / |
| title | ALGORITHMS FOR BIG DATA / |
| title_full | ALGORITHMS FOR BIG DATA / |
| title_fullStr | ALGORITHMS FOR BIG DATA / |
| title_full_unstemmed | ALGORITHMS FOR BIG DATA / |
| title_short | ALGORITHMS FOR BIG DATA / |
| title_sort | algorithms for big data |
| topic | Algorithms |
| work_keys_str_mv | AT feldmanmoranauthor636893 algorithmsforbigdata |