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Graph analytics for data science

Author: Zacharias Voulgaris
Publisher: [Place of publication not identified] : Technics Publications, [2019]
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"Learn about the graph analytics (also known as network analytics) methodology and how it applies to data science, most useful in areas with lots of volume, relationships, and overall data set complexity. Assess the key types of graph analytic approaches including path analysis, centrality analysis, community analysis, and connectivity analysis. Explore the most important graph concepts such as nodes, arcs, walks,  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Zacharias Voulgaris
OCLC Number: 1085910050
Notes: Title from title screen (Safari, viewed February 14, 2019).
Release date from resource description page (Safari, viewed February 14, 2019).
Performer(s): Presenter, Zacharias Voulgaris.
Description: 1 online resource (1 streaming video file (29 min., 40 sec.)) : digital, sound, color
Responsibility: Zacharias Voulgaris.

Abstract:

"Learn about the graph analytics (also known as network analytics) methodology and how it applies to data science, most useful in areas with lots of volume, relationships, and overall data set complexity. Assess the key types of graph analytic approaches including path analysis, centrality analysis, community analysis, and connectivity analysis. Explore the most important graph concepts such as nodes, arcs, walks, trails, circuits, degree, trees, forests, and components. Understand the most useful graph algorithms including Warshall’s Algorithm, Depth-First and Breadth-First Searches, Dijkstra’s Algorithm, Kruskal’s and Prim’s algorithm, the Lightest Hamiltonian Circuit, and PageRank. Explore the many use cases of graph analytics in areas such as logistics, scheduling, clustering, and analyzing social media data."--Resource description page.

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Primary Entity

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