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Queries Data published presentations and documents on DocSlides.

Efficient Evaluation of k-Range Nearest Neighbor Queries in

Efficient Evaluation of k-Range Nearest Neighbor Queries in

  • phoebe-click
  • 22 Slides

Jie Bao Chi-Yin Chow Mohamed F. Mokbel. Departmen...

Processing Aggregate Queries in a Federation of

Processing Aggregate Queries in a Federation of

  • briana-ranney
  • 24 Slides

SPARQL Endpoints. Dilshod IBRAGIMOV, KATJA HOSE, ...

Completeness of Queries

Completeness of Queries

  • min-jolicoeur
  • 0 Slides

. over. . Incomplete. Databases. Werner . Nutt...

Improving Search Relevance for Short Queries in

Improving Search Relevance for Short Queries in

  • lois-ondreau
  • 0 Slides

Community Question . Answering. Date. ： . 2014/...

Visual Queries Dr. Neil H. Schwartz

Visual Queries Dr. Neil H. Schwartz

  • pasty-toler
  • 20 Slides

Visual Queries Dr. Neil H. Schwartz Visualization...

Entity Queries Seminar by

Entity Queries Seminar by

  • walsh
  • 23 Slides

Pankaj. . Vanwari. . Under guidance of . Dr. S. ...

FREQUENTLY ASKED QUERIES AND ANSWERS Answer

FREQUENTLY ASKED QUERIES AND ANSWERS Answer

  • marina-yarberry
  • 3 Slides

1 FREQUENTLY ASKED QUERIES AND ANSWERS 5734557346 ...

Adjacency Queries in Dynamic Sparse Graphs Lukasz Kowalik Abstract We deal with the problem of maintaining a dynamic graph so tha t queries of the form is there an edge between and are processed fas

Adjacency Queries in Dynamic Sparse Graphs Lukasz Kowalik Abstract We deal with the problem of maintaining a dynamic graph so tha t queries of the form is there an edge between and are processed fas

  • trish-goza
  • 8 Slides

We consider graphs of bounded arboricity ie graph...

Spelling

Spelling

  • tatiana-dople
  • 20 Slides

Correction for Advertising:. How “Noise” Can ...

1 Delayed-Dynamic-Selective (DDS) Prediction for Reducing E

1 Delayed-Dynamic-Selective (DDS) Prediction for Reducing E

  • stefany-barnette
  • 34 Slides

Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-w...

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...

A Generic Provenance

A Generic Provenance

  • yoshiko-marsland
  • 57 Slides

Middleware for Database Queries. , Updates, and ....

SharePoint 2013 Search – A Developer’s Perspective

SharePoint 2013 Search – A Developer’s Perspective

  • liane-varnes
  • 23 Slides

Ryan . McIntyre. MCITP. , MCPD. Director. , Porta...

John P. John

John P. John

  • pamella-moone
  • 28 Slides

Fang Yu. Yinglian. . Xie. Martín. . Abadi. Arv...

Hinrich

Hinrich

  • phoebe-click
  • 64 Slides

. Schütze. and Christina . Lioma. Lecture 2: T...

SCOTT AARONSON (MIT),

SCOTT AARONSON (MIT),

  • danika-pritchard
  • 34 Slides

Andris AmBAINIS (UNIV. OF LATVIA). Forrelation. :...

Andris

Andris

  • phoebe-click
  • 47 Slides

AmBAINIS. UNIVERSITY OF LATVIA. Quantum algorithm...

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, ...

A Comparison of

A Comparison of

  • faustina-dinatale
  • 24 Slides

Microblog. Search and Web Search. WSDM . Microbl...

Unsupervised Relation

Unsupervised Relation

  • trish-goza
  • 30 Slides

Detection. using . Automatic . Alignment. of. Qu...

Advanced Query Paradigms

Advanced Query Paradigms

  • olivia-moreira
  • 96 Slides

for the Novice User. Davide Mottin, PhD Defense. ...

PRM and

PRM and

  • marina-yarberry
  • 35 Slides

Multi-Space Planning Problems. :. . How to handl...

Survey

Survey

  • faustina-dinatale
  • 34 Slides

on . Evolving Graphs Research. Speaker: . Chenghu...

Static Analysis and Verification

Static Analysis and Verification

  • alida-meadow
  • 78 Slides

Victor . Vianu. U.C. San Diego. i. n Databases. W...

Mario A. Nascimento

Mario A. Nascimento

  • trish-goza
  • 23 Slides

Univ. of Alberta, Canada. http: //. www.cs.ualber...

No Easy Puzzles:

No Easy Puzzles:

  • myesha-ticknor
  • 22 Slides

A Hardness Result for Jigsaw Puzzles. Michael Bra...

Temporal Query Log Profiling to Improve Web Search Ranking

Temporal Query Log Profiling to Improve Web Search Ranking

  • alexa-scheidler
  • 28 Slides

Alexander . Kotov. (UIUC). . Pranam. . Kolari....

Location Privacy in

Location Privacy in

  • jane-oiler
  • 39 Slides

Casper. :. A Tale of two Systems. Mohamed . Mokbe...

Cohort Modeling for Enhanced Personalized Search

Cohort Modeling for Enhanced Personalized Search

  • danika-pritchard
  • 24 Slides

Jinyun Yan. Wei Chu. Ryen White. Rutgers Universi...

Over the Years: Audit Tools Developed In-House

Over the Years: Audit Tools Developed In-House

  • jane-oiler
  • 47 Slides

April Cassada, VA. Brad Hypes, VA. Nathan Abbott,...

Deciphering Trends In Mobile Search

Deciphering Trends In Mobile Search

  • faustina-dinatale
  • 17 Slides

Authors: . Maryam. . Kamvar. and . Shumeet. . ...

Modeling and Analysis of Cross-Session Search Tasks

Modeling and Analysis of Cross-Session Search Tasks

  • lindy-dunigan
  • 22 Slides

Alexander Kotov, UIUC. Paul N. Bennett, Microsoft...

Searching and displaying information appropriately

Searching and displaying information appropriately

  • alida-meadow
  • 18 Slides

Clothes4u queries. With a partner, think . of . f...

Cohort Modeling for Enhanced Personalized Search

Cohort Modeling for Enhanced Personalized Search

  • lois-ondreau
  • 22 Slides

Jinyun Yan. Wei Chu. Ryen White. Rutgers Universi...

Interactive Sense Feedback for Difficult Queries

Interactive Sense Feedback for Difficult Queries

  • natalia-silvester
  • 24 Slides

Alexander . Kotov. . and . ChengXiang. . Zhai. ...

On Centralized Sublinear Algorithms and Some Relations to D

On Centralized Sublinear Algorithms and Some Relations to D

  • marina-yarberry
  • 34 Slides

Dana Ron . Tel-Aviv University. ADGA, October 201...

Queries

Queries

  • marina-yarberry
  • 33 Slides

. and. . Interfaces. Information Retrieval in P...

SPIN in Five Slides

SPIN in Five Slides

  • kittie-lecroy
  • 6 Slides

http://spinrdf.org. Holger Knublauch, TopQuadrant...

John P. John

John P. John

  • liane-varnes
  • 23 Slides

Fang Yu. Yinglian. . Xie. Martín. . Abadi. Arv...

Confidence-Aware Graph Regularization

Confidence-Aware Graph Regularization

  • briana-ranney
  • 28 Slides

with Heterogeneous Pairwise Features. Yuan Fang ...

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