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X5a8c34 Queries published presentations and documents on DocSlides.

PRM and

PRM and

  • marina-yarberry
  • 35 Slides

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

Towards Inferring Searcher Intent

Towards Inferring Searcher Intent

  • jane-oiler
  • 69 Slides

Eugene Agichtein. Intelligent Information Access ...

How to do business guide.

How to do business guide.

  • cheryl-pisano
  • 21 Slides

Mobile (Reseller). Introduction. The purpose of t...

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...

Part II:

Part II:

  • faustina-dinatale
  • 34 Slides

New Developments in RWD. Background. RWD is const...

On the power and the limits of

On the power and the limits of

  • jane-oiler
  • 24 Slides

evolvability. Vitaly. Feldman . Almaden. Resea...

Bounded Conjunctive Queries

Bounded Conjunctive Queries

  • ellena-manuel
  • 100 Slides

album(photo id;album id)forphotoalbums,friends(us...

1 Lecture 6

1 Lecture 6

  • sherrill-nordquist
  • 24 Slides

Logic Programming . introduction to Prolog, facts...

A Lap Around

A Lap Around

  • min-jolicoeur
  • 19 Slides

Linq. :. Language Integrated Query. in C#3, Visua...

Mohamed F. Mokbel

Mohamed F. Mokbel

  • cheryl-pisano
  • 143 Slides

1. ICDM 2008. Privacy-Preserving Location Service...

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...

Using Large Scale Log Analysis to Understand Human Behavior

Using Large Scale Log Analysis to Understand Human Behavior

  • mitsue-stanley
  • 59 Slides

Jaime . Teevan. , Microsoft . Reseach. UNC 2015. ...

Optimal Planar Orthogonal Skyline Counting Queries

Optimal Planar Orthogonal Skyline Counting Queries

  • conchita-marotz
  • 11 Slides

Gerth . Stølting. Brodal. and Kasper Green Lar...

Ed pinkney

Ed pinkney

  • celsa-spraggs
  • 13 Slides

Westminster briefing, London. july. 10, 2013. Me...

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...

Trust Me, I’m Partially Right: Incremental Visualization

Trust Me, I’m Partially Right: Incremental Visualization

  • trish-goza
  • 28 Slides

Shengliang. . Dai. Background . Queries over lar...

SW-Store: a vertically partitioned

SW-Store: a vertically partitioned

  • kittie-lecroy
  • 27 Slides

DBMS for Semantic Web data Management. . ...

SW-Store: a vertically partitioned

SW-Store: a vertically partitioned

  • luanne-stotts
  • 28 Slides

DBMS for Semantic Web data Management. . ...

Executing Incoherency Bounded Continuous Queries ggRajeev Gupta1 IBM

Executing Incoherency Bounded Continuous Queries ggRajeev Gupta1 IBM

  • tawny-fly
  • 100 Slides

Work was done when author was at IIT Bombay. Copy...

4 Database Queries

4 Database Queries

  • phoebe-click
  • 62 Slides

Peeking into Computer Science. Reading Assignment...

Data Warehouse

Data Warehouse

  • faustina-dinatale
  • 23 Slides

Student Data User Group . Meeting . 5/20/2015. Ag...

Phalanx

Phalanx

  • conchita-marotz
  • 37 Slides

Parallel Checking of Expressive Heap Assertions. ...

minimumnumberq=q(k;)ofqueriesrequiredforanyalgorithmAto-testk-juntas

minimumnumberq=q(k;)ofqueriesrequiredforanyalgorithmAto-testk-juntas

  • mitsue-stanley
  • 100 Slides

k)queriesandconjecturedthatthetruequerycomplexityf...

Cross-Language Retrieval

Cross-Language Retrieval

  • tatyana-admore
  • 17 Slides

INST 734. Module 11. Doug . Oard. Agenda. CLIR. D...

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...

Using Semantic Mapping to Manage Heterogeneity in XLIFF Int

Using Semantic Mapping to Manage Heterogeneity in XLIFF Int

  • alida-meadow
  • 16 Slides

by. Dave Lewis, . Rob Brennan, . Alan Meehan, Dec...

System Aspects of Probabilistic Data Management

System Aspects of Probabilistic Data Management

  • alexa-scheidler
  • 75 Slides

Magdalena . Balazinska. ,. Christopher . Ré. ....

  If you have any further queries or requi

  If you have any further queries or requi

  • test
  • 100 Slides

  \n   \r\n   ...

A Generic Provenance

A Generic Provenance

  • yoshiko-marsland
  • 57 Slides

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

An Overview of Data Provenance

An Overview of Data Provenance

  • calandra-battersby
  • 50 Slides

Why – How . – . Where. What’s up with this ...

Open Provenance Model Tutorial

Open Provenance Model Tutorial

  • stefany-barnette
  • 42 Slides

. Session 6: Interoperability. Session 6: Aims. ...

Towards Execution Guarantees for Stream Queries

Towards Execution Guarantees for Stream Queries

  • celsa-spraggs
  • 36 Slides

Rafael J. Fernández-Moctezuma, David Maier, and ...

02 | Drilldown

02 | Drilldown

  • karlyn-bohler
  • 29 Slides

on Data Discovery using Power Query. Matt Masson|...

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. ...

DAX as a

DAX as a

  • danika-pritchard
  • 42 Slides

Query Language. Alberto Ferrari – SQLBI. albert...

High-Performance Querying

High-Performance Querying

  • test
  • 15 Slides

on RAW data . Anastasia Ailamaki. EPFL. Source: ....

Querying

Querying

  • faustina-dinatale
  • 44 Slides

with DAX. DBI-B412. Alberto Ferrari – SQLBI. al...

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...

Querying Workflow Provenance

Querying Workflow Provenance

  • giovanna-bartolotta
  • 34 Slides

Susan B. Davidson. University of Pennsylvania. Jo...

Time is of Essence: Improving Recency Ranking Using Twitter

Time is of Essence: Improving Recency Ranking Using Twitter

  • olivia-moreira
  • 25 Slides

Anlei Dong Ruiqiang Zhang Pranam Kolari Jing B...

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