'Nodes edges' diaporamas de présentation

Ian Henriksen (adapted materials from Keshav Pingali ) The University of Texas at Austin

Introduction to the Operator Formulation. Ian Henriksen (adapted materials from Keshav Pingali ) The University of Texas at Austin. Parallel Computing Is Changing. Platforms Dedicated clusters versus cloud, mobile People

449 views • 44 slides

LEDA

LEDA. A Library of Efficient Data-Types and Algorithms. http://www.algorithmic-solutions.com/enleda.htm. Presentation by Amitai Armon. Example: Planarity Testing. #include <LEDA/graph_alg.h> using namespace leda; int main(int argc, char * argv[]) { graph G; string filename(argv[1]);

663 views • 35 slides

Before Data Preprocessing

517 views • 26 slides

Graphs over time: densification laws, shrinking diameters and possible explanations

299 views • 16 slides

Privacy Preserving Data Mining

Privacy Preserving Data Mining. Yehuda Lindell & Benny Pinkas. Summary . Objective Various components / tools needed Algorithm. Objective . Perform Data-mining on union of two private databases Data stays private i.e. no party learns anything but output. Assumptions.

363 views • 15 slides

The Overview Panel on Gephi 0.9.1

The Overview Panel on Gephi 0.9.1. 3 . Graph To display the n etwork. 1. Appearance To change the size and color of the network according to some values. 4. Context The context of the network. 5 . Statistics Compute metrics on the network. 6 . Filters

268 views • 14 slides

Visualization of Large Network Structures: Bundled Edges or Node-Link Layouts?

Visualization of Large Network Structures: Bundled Edges or Node-Link Layouts?. Alexandru Telea a.c.telea@rug.nl. University of Groningen The Netherlands. Problem. How to visually understand a large network?. visualization method. answers / insight. large attributed graph. users,

272 views • 5 slides