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Records Query published presentations and documents on DocSlides.

Linking Records with Value Diversity

Linking Records with Value Diversity

  • phoebe-click
  • 51 Slides

Pei Li. University of Milan – . Bicocca. Adviso...

ISFR – Jan 28th, 2010

ISFR – Jan 28th, 2010

  • conchita-marotz
  • 50 Slides

Gianluigi Viscusi SEQUOIAS -DISCo - UnMiB. Linkin...

OCLC Research Library Partners, Works in Progress Series, 1

OCLC Research Library Partners, Works in Progress Series, 1

  • tatyana-admore
  • 42 Slides

Looking inside the . Library Knowledge Vault. Bru...

David Bridgland

David Bridgland

  • celsa-spraggs
  • 14 Slides

– Finance Director. . UNITED DOWNS DEEP GEOTHE...

DUPLICATE RECORDS

DUPLICATE RECORDS

  • test
  • 18 Slides

Waiting for the Banner Update. Kay Turpin. Wester...

F amily

F amily

  • lois-ondreau
  • 39 Slides

H. istory. Lesson #3. Merge Duplicates, Edit Info...

Using Query Patterns

Using Query Patterns

  • mitsue-stanley
  • 43 Slides

. to . Learn. the Durations of Events. Andrey. ...

Discussion 4/24

Discussion 4/24

  • briana-ranney
  • 19 Slides

Climate patterns & climate change. THE CHANGI...

Distributed Nonnegative Matrix Factorization for Web-Scale

Distributed Nonnegative Matrix Factorization for Web-Scale

  • liane-varnes
  • 33 Slides

Data Analysis on . MapReduce. Chao Liu, Hung-. ch...

A Project of Consumer Action |

A Project of Consumer Action |

  • tatyana-admore
  • 23 Slides

www.consumer-action.org. Funding provided by the ...

High-Fidelity Switch Models for SDN Emulation

High-Fidelity Switch Models for SDN Emulation

  • marina-yarberry
  • 27 Slides

Danny Y. Huang. Kenneth Yocum. Alex C. Snoeren. U...

State of Nebraska

State of Nebraska

  • jane-oiler
  • 24 Slides

Email Management – . MS Outlook / Exchange 20...

Run BLAST in command line mode

Run BLAST in command line mode

  • luanne-stotts
  • 17 Slides

Yanbin Yin. Fall 2014. 1. http://. www.ncbi.nlm.n...

RarecareNet

RarecareNet

  • tatiana-dople
  • 24 Slides

-HR/Bulgarian CR. Nadya Dimitrova. Marieta. . Pe...

Prehistory is the time before written records were kept.

Prehistory is the time before written records were kept.

  • stefany-barnette
  • 25 Slides

Because these people didn’t write down their hi...

EMu enhancements and

EMu enhancements and

  • yoshiko-marsland
  • 18 Slides

developments. Darrell J. Siebert. NHM Collections...

Querying Encrypted Data using Fully

Querying Encrypted Data using Fully

  • giovanna-bartolotta
  • 18 Slides

Homomorphic. Encryption. Murali. Mani, . UMFlin...

Monomi

Monomi

  • pasty-toler
  • 29 Slides

: Practical Analytical Query Processing over Encr...

CryptDB

CryptDB

  • trish-goza
  • 33 Slides

: Protecting Confidentiality with Encrypted Query...

Georgia

Georgia

  • min-jolicoeur
  • 44 Slides

FIRST. Financials . Balancing Encumbrances. Juli...

www.britishcouncil.org

www.britishcouncil.org

  • test
  • 4 Slides

History of English Language Assessment. Archives ...

SIGMOD

SIGMOD

  • test
  • 227 Slides

/. PODS. . 2009. 報告. Providence. , Rhode Is...

Search Engines

Search Engines

  • tatyana-admore
  • 28 Slides

Information Retrieval in Practice. All slides ©A...

Functional areas

Functional areas

  • debby-jeon
  • 12 Slides

Retail Business. Sales Department. Organising sal...

Enrich Query Representation by Query Understanding

Enrich Query Representation by Query Understanding

  • yoshiko-marsland
  • 26 Slides

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

Report from the

Report from the

  • briana-ranney
  • 53 Slides

Europeana. Semantic Enrichment Taskforce. Roxann...

Jolyon White

Jolyon White

  • olivia-moreira
  • 15 Slides

GEC9, 4. th. November 2010. OMF Aggregate Manage...

Entangled Queries :Enabling Declarative Data Driven Coordin

Entangled Queries :Enabling Declarative Data Driven Coordin

  • lindy-dunigan
  • 53 Slides

Johannes . Gehrke. Department . of Compute...

Collectively Representing Semi-Structured Data from the Web

Collectively Representing Semi-Structured Data from the Web

  • alexa-scheidler
  • 28 Slides

Bhavana. . Dalvi. . , William W. Cohen and Jam...

Controlled shuffling experiment: detailed

Controlled shuffling experiment: detailed

  • luanne-stotts
  • 17 Slides

10% sample of 2011 census of Ireland - . Risk, co...

Gitelman’s

Gitelman’s

  • lindy-dunigan
  • 16 Slides

Media History. Cody Reimer. New Media Studio, Pr...

LINQ - 2

LINQ - 2

  • sherrill-nordquist
  • 10 Slides

Ravi Kumar. C++/C# Team. A LINQ . Query (once aga...

S M Faisal*

S M Faisal*

  • natalia-silvester
  • 38 Slides

Hash in a Flash:. Hash Tables for Solid State Dev...

Bad plan! Sit!

Bad plan! Sit!

  • pasty-toler
  • 34 Slides

Gail Shaw. Agenda. What exactly is a bad executio...

Bank Reconciliations

Bank Reconciliations

  • luanne-stotts
  • 80 Slides

a sample problem. The cash in bank account for J....

Harikrishnan Karunakaran

Harikrishnan Karunakaran

  • pamella-moone
  • 31 Slides

Sulabha Balan. ICICLES: Self-tuning Samples for ...

Software Vulnerability Examples

Software Vulnerability Examples

  • kittie-lecroy
  • 16 Slides

SQL Injection – Example Scenario. Imagine a for...

DBMSs On a Modern Processor: Where Does Time Go?

DBMSs On a Modern Processor: Where Does Time Go?

  • olivia-moreira
  • 29 Slides

Anatassia. . Ailamaki. David J DeWitt. Mark D. H...

When Data Management Systems Meet Approximate

When Data Management Systems Meet Approximate

  • phoebe-click
  • 26 Slides

Hardware: Challenges and Opportunities. Author. :...

Energy-Efficient Query Processing on

Energy-Efficient Query Processing on

  • yoshiko-marsland
  • 25 Slides

Embedded CPU-GPU Architectures. Xuntao Cheng. , B...

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