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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 ...

Relevant Subgraph Extraction

Relevant Subgraph Extraction

  • olivia-moreira
  • 8 Slides

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

Denser than the Densest Subgraph:

Denser than the Densest Subgraph:

  • tatiana-dople
  • 37 Slides

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

Subexponential Algorithms for Subgraph Isomorphism

Subexponential Algorithms for Subgraph Isomorphism

  • ellena-manuel
  • 0 Slides

(and related problems). on Minor-Free Graphs. Han...

Relevant Subgraph Extraction

Relevant Subgraph Extraction

  • ellena-manuel
  • 0 Slides

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

Robust Local Community Detection:

Robust Local Community Detection:

  • olivia-moreira
  • 17 Slides

On Free Rider Effect and Its Elimination. 1. Case...

Privacy Preserving Subgraph

Privacy Preserving Subgraph

  • phoebe-click
  • 0 Slides

Matching on Large Graphs in Cloud. Zhao Chang*, ...

Local Learning for Mining Outlier

Local Learning for Mining Outlier

  • danika-pritchard
  • 34 Slides

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

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...

Optical Character Recognition:

Optical Character Recognition:

  • lois-ondreau
  • 32 Slides

Using the Ullman Algorithm for Graphical Matching...

Densestk-subgraph(DkS):Input:AgraphG=(V;E),jVj=n,andanintegerk,knOutp

Densestk-subgraph(DkS):Input:AgraphG=(V;E),jVj=n,andanintegerk,knOutp

  • danika-pritchard
  • 100 Slides

I I Heaviestk-subgraph(HkS):Input:AweightedgraphG=...

An Architecture FRAMEWORK FOR Transparent ISA customization

An Architecture FRAMEWORK FOR Transparent ISA customization

  • tawny-fly
  • 27 Slides

Vinay Gangadhar. gangadhar@wisc.edu. . ECE 751 T...

Markus Chimani

Markus Chimani

  • lindy-dunigan
  • 12 Slides

. & Tilo . Wiedera. . Karsten . Klein. Uni ...

Denser than the Densest Subgraph:

Denser than the Densest Subgraph:

  • trish-goza
  • 0 Slides

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

ETH-hardness of Densest-k-

ETH-hardness of Densest-k-

  • quinn
  • 18 Slides

Subgraph. . with Perfect Completeness. Aviad Rubi...

Cohesive Subgroups Chapter 7

Cohesive Subgroups Chapter 7

  • amber
  • 11 Slides

Feb 20, 2009. Definition of subgroups . Definition...

Emerging Graph Queries in Linked Data

Emerging Graph Queries in Linked Data

  • jane-oiler
  • 108 Slides

Arijit Khan, . Yinghui. Wu, Xifeng Yan. Departme...

Privacy Preserving

Privacy Preserving

  • trish-goza
  • 53 Slides

Subgraph. Matching on Large Graphs in Cloud. Zha...

Neighborhood Based Fast Graph Search In Large Networks

Neighborhood Based Fast Graph Search In Large Networks

  • vizettan
  • 28 Slides

Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Gu...

Enrich Query Representation by Query Understanding

Enrich Query Representation by Query Understanding

  • yoshiko-marsland
  • 26 Slides

Gu Xu. Microsoft Research Asia. Mismatching Probl...

Course Introduction Welcome to PeopleSoft Query! PeopleSoft Query is a data extraction tool that al

Course Introduction Welcome to PeopleSoft Query! PeopleSoft Query is a data extraction tool that al

  • faith
  • 58 Slides

Course Goal. The goal of this course is to teach e...

On Uncertain Graphs Modeling and Queries

On Uncertain Graphs Modeling and Queries

  • alexa-scheidler
  • 165 Slides

Arijit Khan. Systems Group. ETH Zurich. Lei Chen....

Efficient and Effective Local

Efficient and Effective Local

  • lois-ondreau
  • 58 Slides

Algorithms. for . Analyzing Massive Graphs. Yubao...

Context-Sensitive Query

Context-Sensitive Query

  • liane-varnes
  • 15 Slides

Auto-Completion. Authors:Naama. . Kraus and . Zi...

30 technical tips and tricks to speed query, report, and da

30 technical tips and tricks to speed query, report, and da

  • briana-ranney
  • 61 Slides

Dr. Bjarne Berg . 3. What We’ll Cover …. . I...

Query Logs – Used everywhere and for everything

Query Logs – Used everywhere and for everything

  • liane-varnes
  • 8 Slides

Sai . Vallurupalli. What are query logs useful fo...

PIQL: Success- Tolerant Query Processing in the Cloud

PIQL: Success- Tolerant Query Processing in the Cloud

  • debby-jeon
  • 30 Slides

Michael . Armbrust. , Kristal Curtis, Tim . Krask...

Query Optimization Techniques and Performance Issues in XML

Query Optimization Techniques and Performance Issues in XML

  • calandra-battersby
  • 35 Slides

CSE 8330. Instructor: . Dr.Margaret. H. Dunham. ...

Deep Dive into the Power Query Formula Language

Deep Dive into the Power Query Formula Language

  • celsa-spraggs
  • 41 Slides

Matt Masson. Tessa Palmer. DBI-B410. Agenda. Over...

Building Confidential and Efficient Query Services in the C

Building Confidential and Efficient Query Services in the C

  • lindy-dunigan
  • 13 Slides

Abstract. With the wide deployment of public clou...

Guiding Your Query Plans in Microsoft SQL Server for Improv

Guiding Your Query Plans in Microsoft SQL Server for Improv

  • karlyn-bohler
  • 38 Slides

Gail Shaw. XpertEase. DAT 305 . Topics. Backgroun...

Graph Query Reformulation with Diversity

Graph Query Reformulation with Diversity

  • alida-meadow
  • 23 Slides

Davide Mottin, University of Trento. Francesco . ...

Query Processing:

Query Processing:

  • liane-varnes
  • 78 Slides

Query Formulation. Ling573. NLP Systems and Appli...

Query Processing

Query Processing

  • tawny-fly
  • 24 Slides

A query is stated using SQL or other languages, i...

Query Rewriting Using Monolingual Statistical Machine Trans

Query Rewriting Using Monolingual Statistical Machine Trans

  • tatyana-admore
  • 17 Slides

Stefan . Riezler. Yi Liu. Google. 2010 Associatio...

Query Optimization

Query Optimization

  • lindy-dunigan
  • 54 Slides

Query Optimization Process. (simplified a bit). P...

Generating Query Substitutions

Generating Query Substitutions

  • pasty-toler
  • 24 Slides

Alicia Wood. What is the . problem. to be solved...

Exploring Web Scale Language Models for Search Query Proces

Exploring Web Scale Language Models for Search Query Proces

  • lindy-dunigan
  • 51 Slides

Jianfeng Gao, MSR. (Joint work with . Jian. Huan...

30 technical tips and tricks to speed query, report, and da

30 technical tips and tricks to speed query, report, and da

  • tawny-fly
  • 61 Slides

Dr. Bjarne Berg . 3. What We’ll Cover …. . I...

DQR: A Probabilistic Approach to Diversified Query Recommen

DQR: A Probabilistic Approach to Diversified Query Recommen

  • lindy-dunigan
  • 39 Slides

Ruirui. Li, Ben Kao, Bin Bi, . Reynold. Cheng, ...

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