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Detecting High LogDensities an Approximation for Densest Subgraph Aditya Bhaskara Moses Charikar Eden Chlamtac Uriel Feige Aravindan Vijayaraghavan Abstract In the Densest Subgraph problem given a

Detecting High LogDensities an Approximation for Densest Subgraph Aditya Bhaskara Moses Charikar Eden Chlamtac Uriel Feige Aravindan Vijayaraghavan Abstract In the Densest Subgraph problem given a

  • phoebe-click
  • 24 Slides

There is a signi64257cant gap between the best kn...

CURIO A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets Aaron Ceglar John F

CURIO A Fast Outlier and Outlier Cluster Detection Algorithm for Large Datasets Aaron Ceglar John F

  • myesha-ticknor
  • 9 Slides

Roddick and David MW Powers School of Informatics...

Subgraph Matching Kernels for Attributed Graphs Nils K

Subgraph Matching Kernels for Attributed Graphs Nils K

  • stefany-barnette
  • 8 Slides

kriegecstudortmundde Petra Mutzel petramutzelcstud...

Denser than the Densest Subgraph Extracting Optimal Qu

Denser than the Densest Subgraph Extracting Optimal Qu

  • mitsue-stanley
  • 9 Slides

Tsourakakis Francesco Bonchi Aristides Gionis Fra...

Detecting Errors in Numerical Linked Data using CrossC

Detecting Errors in Numerical Linked Data using CrossC

  • pamella-moone
  • 16 Slides

unimannheimde Abstract Outlier detection used for ...

Densest Subgraph in Streaming and MapReduce Bahman Bah

Densest Subgraph in Streaming and MapReduce Bahman Bah

  • kittie-lecroy
  • 12 Slides

edu Ravi Kumar Yahoo Research Sunnyvale CA ravikum...

Inapproximabilty of Densest Subgraph from Average Case

Inapproximabilty of Densest Subgraph from Average Case

  • giovanna-bartolotta
  • 16 Slides

Both results are of similar avor ruling out const...

Densest Subgraph Approximation on Intersection Graphs

Densest Subgraph Approximation on Intersection Graphs

  • alida-meadow
  • 14 Slides

Chen Rudolf Fleischer and Jian Li University o...

The densest subgraph problem on clique graphs M

The densest subgraph problem on clique graphs M

  • danika-pritchard
  • 15 Slides

Liazi I Milis F Pascual and V Zissimopoulos Dep...

EVASIVENESS OF SUBGRAPH CONTAINMENT AND RELATED PROPER

EVASIVENESS OF SUBGRAPH CONTAINMENT AND RELATED PROPER

  • mitsue-stanley
  • 10 Slides

C OMPUT 2002 Society for Industrial and Applied M...

Algorithm for Subgraph Isomorphism

Algorithm for Subgraph Isomorphism

  • danika-pritchard
  • 12 Slides

R. ULLMANN Physical Laboratory, Tedd, ngton, M, dd...

International Journal on Artificial Intelligence Tools Vol. XX, No. X

International Journal on Artificial Intelligence Tools Vol. XX, No. X

  • phoebe-click
  • 18 Slides

OutRank: A GRAPH-BASED OUTLIER DETECTION FRAMEWORK...

Robust hierarchical

Robust hierarchical

  • myesha-ticknor
  • 11 Slides

k. -center clustering. Ilya Razenshteyn (MIT). Si...

Susan interviewed the twenty five students in her class, as

Susan interviewed the twenty five students in her class, as

  • calandra-battersby
  • 35 Slides

21. , 1, 1, 0, 3, 1, 2, 2. Which measure of centr...

Big Data

Big Data

  • debby-jeon
  • 25 Slides

Kirk Borne. George Mason University. LSST All Han...

Figure2:Courtesy[1].Sequentialprogressionofdifferentstainsthatformwhen

Figure2:Courtesy[1].Sequentialprogressionofdifferentstainsthatformwhen

  • pamella-moone
  • 6 Slides

Figure3:Outlier(top)vs.goodtofellipseestimation(b...

THE EFFECT OF SWAMPING ON OUTLIER DETECTION IN NORMAL SAMPLES Thomas W

THE EFFECT OF SWAMPING ON OUTLIER DETECTION IN NORMAL SAMPLES Thomas W

  • jane-oiler
  • 6 Slides

initial model for the data generation " (Barnett, ...

Features

Features

  • conchita-marotz
  • 41 Slides

David Kauchak. CS 451 – Fall 2013. Admin. Assig...

Denser than the Densest Subgraph:

Denser than the Densest Subgraph:

  • tatiana-dople
  • 37 Slides

Extracting Optimal Quasi-Cliques with Quality . G...

The Combinatorial Multigrid Solver

The Combinatorial Multigrid Solver

  • luanne-stotts
  • 33 Slides

Yiannis Koutis, Gary Miller. Carnegie Mellon Univ...

Query-based Graph Cuboid

Query-based Graph Cuboid

  • kittie-lecroy
  • 28 Slides

Outlier Detection. Ayushi Dalmia. *. , Manish Gup...

A sharp threshold for

A sharp threshold for

  • luanne-stotts
  • 30 Slides

minimum bound-depth/diameter. spanning and Steine...

Relevant Subgraph Extraction

Relevant Subgraph Extraction

  • olivia-moreira
  • 8 Slides

Longin Jan Latecki. Based on :. P. . Dupont. , J....

On the use of Graph Search Techniques for the Analysis of E

On the use of Graph Search Techniques for the Analysis of E

  • danika-pritchard
  • 38 Slides

Janine Bennett. 1. William . McLendon. III. 1. G...

Edge-disjoint induced subgraphs with given minimum

Edge-disjoint induced subgraphs with given minimum

  • tawny-fly
  • 21 Slides

degree. Raphael Yuster. 2012. Problems concernin...

Zero-Order Controlled Release Kinetics

Zero-Order Controlled Release Kinetics

  • cheryl-pisano
  • 31 Slides

Kyle Douglas, James Farber, Steven Flynn, Janie G...

Exploratory Data Analysis

Exploratory Data Analysis

  • liane-varnes
  • 25 Slides

John . Tukey. Developed these procedures to help ...

Count of Degree

Count of Degree

  • briana-ranney
  • 100 Slides

Degree 10 0 10 1 10 2 10 3 10 4 10 5 10 0 10 2 10 ...

Location Recognition

Location Recognition

  • olivia-moreira
  • 29 Slides

Given:. A query image. A database of images with ...

Hawkeye

Hawkeye

  • stefany-barnette
  • 38 Slides

: Effective . Discovery of Dataflow Impediments t...

Local Learning for Mining Outlier

Local Learning for Mining Outlier

  • danika-pritchard
  • 34 Slides

Subgraphs from . Network Datasets. Manish . Gupta...

Toshiki

Toshiki

  • min-jolicoeur
  • 22 Slides

. Saitoh. ERATO, Minato Project, JST . Subgraph....

Optical Character Recognition:

Optical Character Recognition:

  • lois-ondreau
  • 32 Slides

Using the Ullman Algorithm for Graphical Matching...

Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real time story identification

Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real time story identification

  • tatyana-admore
  • 100 Slides

581 579 585 578 577 574 576 584 580 575 582 583 Fi...

The K clique Densest Subgraph Problem

The K clique Densest Subgraph Problem

  • cheryl-pisano
  • 100 Slides

10 ].However,frequentlythedensestsubgraphprob-lemf...

Ensembles[PositionPaper]CharuC.AggarwalIBMT.J.WatsonResearchCenterYork

Ensembles[PositionPaper]CharuC.AggarwalIBMT.J.WatsonResearchCenterYork

  • cheryl-pisano
  • 100 Slides

Latest Results on outlier ensembles available at ...

4.4 Outliers and Dot Plots

4.4 Outliers and Dot Plots

  • mitsue-stanley
  • 24 Slides

What is an outlier?. Sometimes, distributions are...

Outlier Treatment in HCSO

Outlier Treatment in HCSO

  • liane-varnes
  • 29 Slides

Present and future. Outline. Outlier detection â€...

Distance-Based Outlier Detection: Consolidation and Renewed

Distance-Based Outlier Detection: Consolidation and Renewed

  • tatyana-admore
  • 36 Slides

Gustavo Henrique Orair. Federal University of . ...

An Unbiased Distance-based Outlier Detection Approach for H

An Unbiased Distance-based Outlier Detection Approach for H

  • test
  • 32 Slides

DASFAA 2011. By. Hoang Vu Nguyen, . Vivekanand. ...

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