Sublinear Algorithms for Big Datasets

Sublinear Algorithms for Big Datasets - Grigory Yaroslavtsev

In this course we will cover such algorithms, which can be used for the analysis of distributions, graphs, data streams and high-dimensional real-valued data.

Sublinear Algorithms for Big Data Applications - SpringerLink

The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply ...

Sublinear Algorithms for Big Datasets

We focus on two types of sublinear algorithms: sub-linear time algorithms, and sketching/streaming algorithms. The former access only a small number of input ...

Sublinear algorithms for big data analysis - CS-448 - EPFL

In this course we will define rigorous mathematical models for computing on large datasets, cover main algorithmic techniques that have been developed for ...

Unlocking Big Data Efficiency with Sublinear Time Algorithms

Key Techniques in Sublinear Algorithms · Random Sampling: Instead of processing the entire dataset, the algorithm randomly selects a subset of ...

Sublinear Algorithms for Massive Data Sets - OSTI.GOV

... sublinear algorithms for massive data analysis prob- lems at Sandia. This research branched out into various areas of data mining, such as graph mod- eling ...

Sublinear Algorithms for Big Data Applications, Paperback by Wang ...

The brief focuses on applying sublinear algorithms to manage critical big data challenges. It also demonstrates how to apply sublinear algorithms to three ...

Sublinear Approximation for Large-scale Data Science - Microsoft

One challenge in large scale data science is that even linear algorithms can result in large data processing cost and long latency, which limit the ...

Sublinear Algorithms - Simons Institute

The ubiquity of large data sets has had a significant impact on the design of algorithms and has led to the emergence of computational ...

Sublinear Algorithms for Processing Massive Datasets

Have you ever had a dataset so big that it doesn't fit in the memory? Sublinear Space Algorithms! Alternative models. Page 7. Alternative Models.

CSCI 1951-W – Sublinear Algorithms for Big Data - Brown CS

This course focuses on this exciting "sublinear" algorithmic regime. See the course missive for details on assessment and various policies.

B609 Sublinear Algorithms for Big Data (Fall 2024)

B609 Sublinear Algorithms for Big Data (Fall 2024) · There is no textbook for the class. Lectures are based on this notes by Chakrabarti, and recent papers. We ...

Sublinear Algorithms for Big Data Applications

We then present how to apply sublinear algorithms to three big data application domains, namely, wireless sensor networks, big data processing in MapReduce, and ...

CS-448 Sublinear Algorithms for Big Data Analysis - Theory @ EPFL

This course is about sublinear algorithms, ie algorithms whose resource requirements are substantially smaller than the size of the input that they operate on.

Sublinear Algorithms for Processing Massive Datasets

Sublinear Algorithms for Processing Massive Datasets. Hamed Saleh. Page 2. Acknowledgements. Many results in this proposal are part of joint works with multiple ...

CSCI 1951-W – Sublinear Algorithms for Big Data - Brown CS

Lectures ; Lecture 5 (24 Sep), Bounded degree graph -- connectedness + estimating # connected components ; Lecture 6 (29 Sep), More on bounded degree graphs, ...

ECS 189A: Sublinear Algorithms for Big Data Fall 2024 - Jasper Lee

Surprisingly, to answer many computational and statistical questions, sometimes there is no need to read/store every piece of data! This course focuses on this ...

Sublinear Algorithms for Big Data Applications - ResearchGate

The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply ...

CS395T: Sublinear Algorithms (Fall 2020)

This graduate course will study algorithms that can process very large data sets. In particular, we will consider algorithms for:

Sublinear Algorithms, by Prof. Michael Kapralov - YouTube

Inaugural Lecture - Sublinear Algorithms, Prof. Michael Kapralov Abstract As the sizes of modern datasets grow, many classical polynomial ...