Feldman M. Algorithms For Big Data 2020 torrent

Textbook in PDF format

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.
Preface
About the Author
Data Stream Algorithms
Introduction to Data Stream Algorithms Chapter 2. Basic Probability and Tail Bounds
Estimation Algorithms
Reservoir Sampling
Pairwise Independent Hashing
Counting Distinct Tokens
Sketches
Graph Data Stream Algorithms
The Sliding Window Model
Sublinear Time Algorithms
Introduction to Sublinear Time Algorithms
Property Testing
Algorithms for Bounded Degree Graphs
An Algorithm for Dense Graphs
Algorithms for Boolean Functions
Map-Reduce
Introduction to Map-Reduce
Algorithms for Lists
Graph Algorithms
Locality-Sensitive Hashing
Index