'Entire graph' diaporamas de présentation

Mining Large Graphs Part 3: Case studies

Mining Large Graphs Part 3: Case studies. Jure Leskovec and Christos Faloutsos Machine Learning Department.

1.16k views • 101 slides

Topic 6: Probability

Topic 6: Probability. Dr J Frost (jfrost@tiffin.kingston.sch.uk) . Last modified: 18th July 2013. Slide guidance. Key to question types:. SMC. Senior Maths Challenge. Uni. University Interview. Questions used in university interviews (possibly Oxbridge). www.ukmt.org.uk

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Data Structures Using C++ 2E

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The structure and function of complex networks(2003)

The structure and function of complex networks(2003). Author: M.E.J. Newman Presenter: Guoliang Liu Date:5/4/2012. Outline. Networks in the real world Properties of networks Random graphs Exponential random graphs and Markov graphs The small-world model Models of network growth

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GraphX : Unifying Data-Parallel and Graph-Parallel Analytics

GraphX : Unifying Data-Parallel and Graph-Parallel Analytics . Presented by Joseph Gonzalez Joint work with Reynold Xin , Daniel Crankshaw , Ankur Dave, Michael Franklin, and Ion Stoica Strata 2014. *These slides are best viewed in P owerPoint with animation.

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Bode Plots

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Graph Drawing

Graph Drawing. Zsuzsanna Hollander. Reviewed Papers. Effective Graph Visualization via Node Grouping Janet M. Six and Ioannis G. Tollis. Proc InfoVis 2001 Visualization of State Transition Graphs Frank van Ham, Huub van de Wetering, Jarke J. van Wijk. Proc InfoVis 2001.

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Artificial Intelligence in Game Design

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Jimmy Lin The iSchool University of Maryland Wednesday, October 1, 2008

Cloud Computing Lecture #5 Graph Algorithms with MapReduce. Jimmy Lin The iSchool University of Maryland Wednesday, October 1, 2008.

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Fast Nearest-neighbor Search in Disk-resident Graphs

Fast Nearest-neighbor Search in Disk-resident Graphs. ???????. Outline. Introduction Background & related works Proposed Work Experiments. Introduction-Motivation. Graph becoming enormous Streaming algorithm must take passes over the entire dataset

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Warm Up

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Ping-Pong

Ping-Pong. The Perfect Shot. Created by Ensar Tota and Evan McEllhenney of 8-3 Parabola Project. What is Ping-Pong?.

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2.1 Solving Equations Graphically

2.1 Solving Equations Graphically. Objectives: Solve equations using the intersect method. Solve equations using the x -intercept method. Example #1a Solve using the intersection method. A).

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Chapter 4

Chapter 4. Demand - the desire to own something. Law of Demand - consumers buy more of a good when its price decreases and less when its price increases. Ex. If a gallon of gas went up to $8.00 in one month, would you drive less or get a another job? OR

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Dynamic Network Visualization: Methods for Meaning with Longitudinal Network Movies.

Dynamic Network Visualization: Methods for Meaning with Longitudinal Network Movies. James Moody, Daniel McFarland, and Skye Bender-deMoll

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Why do we create a pie Chart

Why do we create a pie Chart. A special chart that uses "pie slices" to show relative sizes of data . [part to whole] It is a really good way to show relative sizes: it is easy to see which movie types are most liked, and which are least liked, at a glance .

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A Distributed Framework for Computation on the Results of Large Scale NLP

A Distributed Framework for Computation on the Results of Large Scale NLP. Christophe Roeder, William A. Baumgartner Jr., Kevin Livingston, Lawrence Hunter ( UC Denver). Questions that could be answered using large corpora. Second source of data for validation/corroboration

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The APH Talking Graphing Calculator

The APH Talking Graphing Calculator. Kerry Isham APH Field Services Representative. Orion TI-84 Plus Talking Graphing Calculator. Orion TI-84 Plus.

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Lengths and Surface Areas of Polar Curves

Lengths and Surface Areas of Polar Curves. Section 10.6b. Length of a Polar Curve. Start with a parametrization of , :. Length of a parametric curve (from Section 10.1):. Inside the square root:. Length of a Polar Curve.

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