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Data Streams I

Simons Institute via YouTube

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Explore the fundamentals of data stream processing in this lecture from the Foundations of Data Science Boot Camp. Delve into network statistics, the classical approach, and the graph streaming model. Learn about caching techniques and edge incidence matrices. Discover the power of linear sketches and their applications in connectivity algorithms and L0 sampling. Gain insights into dimensionality reduction and its importance in handling large-scale data streams efficiently.

Syllabus

Introduction
Network Statistics
Classical Approach
Graph Streaming Model
Caching
Edge Incidence Matrix
Summary
Linear Sketch
Connectivity Algorithm
L0 Sampler
Linear Sketches

Taught by

Simons Institute

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