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Novelty Query published presentations and documents on DocSlides.

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...

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...

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...

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...

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...

http://

http://

  • faustina-dinatale
  • 30 Slides

www.flickr.com. /photos/. rofi. /2097239111/. Dat...

Explaining The

Explaining The

  • phoebe-click
  • 9 Slides

Data. Dan Suciu. Or: is there anything left . to ...

Toward Whole-Session Relevance:

Toward Whole-Session Relevance:

  • min-jolicoeur
  • 54 Slides

Exploring . Intrinsic Diversity . in . Web Search...

The Scientific Revolution

The Scientific Revolution

  • pamella-moone
  • 22 Slides

David Beck. What . is . the scientific revolution...

A Dichotomy on The Complexity of Consistent Query Answering

A Dichotomy on The Complexity of Consistent Query Answering

  • olivia-moreira
  • 26 Slides

Paris . Koutris. Dan . Suciu. University of Washi...

Yuqing Wu, Dirk Van Gucht Indiana University

Yuqing Wu, Dirk Van Gucht Indiana University

  • tatyana-admore
  • 46 Slides

Marc Gyssens Hasselt University. Jan Paredaen...

Extension Methods and LINQ

Extension Methods and LINQ

  • conchita-marotz
  • 30 Slides

Extension Methods, Anonymous Types. LINQ Query Ke...

Query Evaluation

Query Evaluation

  • alexa-scheidler
  • 9 Slides

Chapter 11 External Sorting. Why Sort?. A classic...

Towards the Web of Concepts: Extracting Concepts from Large

Towards the Web of Concepts: Extracting Concepts from Large

  • briana-ranney
  • 21 Slides

Aditya. G. . Parameswaran. Stanford University. ...

Happy Eyeballs for the DNS

Happy Eyeballs for the DNS

  • yoshiko-marsland
  • 48 Slides

Geoff . Huston,. George . Michaelson. APNIC Labs....

The Many Facets of Apache

The Many Facets of Apache

  • briana-ranney
  • 51 Slides

Solr. Yonik Seeley, Lucid Imagination. yonik@luci...

Implementing Local Search with Apache Solr and Lucene

Implementing Local Search with Apache Solr and Lucene

  • pamella-moone
  • 19 Slides

Grant Ingersoll. Topics. Use Cases. Concepts of L...

Building the

Building the

  • cheryl-pisano
  • 57 Slides

Fastest SQL Servers. Brent Ozar. Microsoft Certif...

1 Online Feature Selection for Information Retrieval

1 Online Feature Selection for Information Retrieval

  • briana-ranney
  • 33 Slides

Niranjan Balasubramanian. University of Massachus...

FishNet 2 Collaborative

FishNet 2 Collaborative

  • calandra-battersby
  • 21 Slides

Georeferencing Workshop. Lawrence, KS . 10-11, Ja...

FitNesse

FitNesse

  • kittie-lecroy
  • 23 Slides

. in Fifty Minutes. Chris Harbert. Resonate. 1. ...

Finding Application Errors and Security Flaws Using

Finding Application Errors and Security Flaws Using

  • tatyana-admore
  • 47 Slides

PQL. : . A Program Query Language. Michael Martin...

Authentication: Owner and user

Authentication: Owner and user

  • tatiana-dople
  • 14 Slides

Owner. User. Query: X > 6. Message m: Answer t...

Atrial Flutter: If you get a Query in ICD-10

Atrial Flutter: If you get a Query in ICD-10

  • tatyana-admore
  • 4 Slides

1. 6. 3/21/14cditipsheet. Documentation Specifici...

A Tour of the

A Tour of the

  • giovanna-bartolotta
  • 28 Slides

NoSQL. World. David Cassel, MarkLogic Sr. Consul...

Ranking

Ranking

  • alexa-scheidler
  • 15 Slides

Multimedia Databases. via Relevance Feedback . w...

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