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Search Results for 'Query-Peer'

Query-Peer published presentations and documents on DocSlides.

Applications (1 of 2):
Applications (1 of 2):
by tatiana-dople
Information Retrieval. Kenneth Church. Kenneth.Ch...
An Algebraic Approach to Visual Discovery Management
An Algebraic Approach to Visual Discovery Management
by marina-yarberry
Abhishek Mukherji, . Professor Elke . A. . Runden...
National Center for Health Statistics
National Center for Health Statistics
by luanne-stotts
Data Online Query System. Overview. http://www.cd...
1 Data integration
1 Data integration
by faustina-dinatale
Most slides are borrowed from Dr. Chen Li, UC Irv...
RS Retrieve Rendered Services
RS Retrieve Rendered Services
by faustina-dinatale
Decision: Make 3 Separate . S. ervices. Retrieve...
Facilitating Document Annotation Using Content and Querying
Facilitating Document Annotation Using Content and Querying
by pasty-toler
Abstract. A large number of organizations today g...
Vladimir Kolesnikov (
Vladimir Kolesnikov (
by tatyana-admore
Bell Labs. ). Steven M. . Bellovin, Seung . Geol ...
OWL 2
OWL 2
by pasty-toler
Web Ontology Language. Some material adapted from...
DBMS Architecture
DBMS Architecture
by alexa-scheidler
COMP3211 Advanced Databases. Dr. Nicholas Gibbin...
Enhancing Web Search by Promoting Multiple Engine Use
Enhancing Web Search by Promoting Multiple Engine Use
by kittie-lecroy
Ryen W. . White, Matthew Richardson, Mikhail Bile...
Nectar: Efficient Management of Computation and Data in Dat
Nectar: Efficient Management of Computation and Data in Dat
by tatiana-dople
Lenin Ravindranath. Pradeep Kumar . G. unda, Chan...
Relevance Feedback for the
Relevance Feedback for the
by tatiana-dople
Earth Mover‘s Distance. Marc Wichterich. , Chri...
Decision Trees
Decision Trees
by debby-jeon
Shalev Ben-David. Definition. Given a function. ...
Using Large Scale Log Analysis to Understand Human Behavior
Using Large Scale Log Analysis to Understand Human Behavior
by natalia-silvester
Jaime . Teevan. , Microsoft . Reseach. dub 2013. ...
Keyword Query Routing
Keyword Query Routing
by kittie-lecroy
Abstract. Keyword search is an intuitive paradigm...
Low Latency Geo-distributed
Low Latency Geo-distributed
by olivia-moreira
Data Analytics. Qifan Pu, Ganesh . Ananthanarayan...
Natural Neighbor Based Grid DEM Construction Using a GPU
Natural Neighbor Based Grid DEM Construction Using a GPU
by pasty-toler
Alex Beutel. Duke University. Joint work with . P...
Top-K Query Evaluation on Probabilistic Data
Top-K Query Evaluation on Probabilistic Data
by lois-ondreau
Christopher . Ré. , . Nilesh. . Dalvi. and Dan...
Query-Based Outlier Detection in Heterogeneous Information
Query-Based Outlier Detection in Heterogeneous Information
by calandra-battersby
Jonathan Kuck. 1. , . Honglei. Zhuang. 1. , . Xi...
Section 2:
Section 2:
by tatiana-dople
Finding and . Refinding. Jaime Teevan. Microsoft ...
DEV11
DEV11
by karlyn-bohler
SharePoint Search Extensibility  . Mike Fitzmaur...
Crowdsourced Enumeration Queries
Crowdsourced Enumeration Queries
by briana-ranney
Ruihan Shan. Introduction. Motivation. Motivation...
Google Search
Google Search
by tatyana-admore
Tips. -. prevents a search term to show in result...
The Cascades Framework for Query Optimization Goetz Graefe Abstract This paper describes a new extensible query optimization framework that resolves many of the short comings of the EXODUS and Volcan
The Cascades Framework for Query Optimization Goetz Graefe Abstract This paper describes a new extensible query optimization framework that resolves many of the short comings of the EXODUS and Volcan
by myesha-ticknor
In addition to extensibility dynamic pro gramming...
Keyword-based Search and Exploration on Databases
Keyword-based Search and Exploration on Databases
by faustina-dinatale
Yi Chen. Wei Wang. Ziyang. Liu. University of Ne...
Information Retrieval and Question-Answering
Information Retrieval and Question-Answering
by tatyana-admore
Julia Hirschberg. CS 4705. Today. Information Ret...
Optimal Data-Dependent Hashing for
Optimal Data-Dependent Hashing for
by natalia-silvester
A. pproximate . N. ear . N. eighbors. Alexandr An...
By Akrivi
By Akrivi
by conchita-marotz
. Vlachou. 1. , Christos Doulkeridis. 1. , . Kje...
Final Presentation
Final Presentation
by min-jolicoeur
Group 1. (1). 陳伊瑋. (2). 沈國曄. (3). 唐...
Traditional IR models
Traditional IR models
by test
Jian-Yun . Nie. Main IR processes. Last lecture: ...
CS525:
CS525:
by liane-varnes
. Special Topics in DBs. Large-Scale Data Manage...
CS276 Information Retrieval and Web Search
CS276 Information Retrieval and Web Search
by marina-yarberry
Hugh E. Williams. hugh@hughwilliams.com. http. :/...
Search Engines
Search Engines
by myesha-ticknor
Information Retrieval in Practice. All slides ©A...
A Provider-side View of
A Provider-side View of
by briana-ranney
Web Search Response Time. Yingying Chen, . Ratul....
Spelling
Spelling
by tatiana-dople
Correction for Advertising:. How “Noise” Can ...
What is Slick and why
What is Slick and why
by faustina-dinatale
we use . it?. Mark van der Tol. Why we moved to S...
Housing Residence Education
Housing Residence Education
by alexa-scheidler
Network and Services. Network Traffic. Student a...
COEN 445
COEN 445
by natalia-silvester
Communication Networks and . Protocols. Lab 3. Wi...
Domain Name System ( DNS )
Domain Name System ( DNS )
by myesha-ticknor
DNS is the system that provides name to address m...
CryptDB
CryptDB
by tawny-fly
:. A Practical Encrypted Relational DBMS. Raluca...