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Query-Graph published presentations and documents on DocSlides.

Mining
Mining
by liane-varnes
Query-Based . Subnetwork Outliers in Heterogeneou...
02 | Drilldown
02 | Drilldown
by karlyn-bohler
on Data Discovery using Power Query. Matt Masson|...
Querying Probabilistic XML Databases
Querying Probabilistic XML Databases
by alida-meadow
Asma. . Souihli. Oct. . 24. th. . 2012. Network...
Data Management Research Forecast:
Data Management Research Forecast:
by faustina-dinatale
Hot With an Increasing. Chance of Clouds... .. Mi...
A Static Rank Framework for
A Static Rank Framework for
by lindy-dunigan
Lucene. /. Solr. Mike . Schultz. mike.schultz@gma...
Ranked Retrieval
Ranked Retrieval
by trish-goza
INST 734. Module 3. Doug . Oard. Agenda. Ranked r...
Interpreting Advertiser Intent in Sponsored Search
Interpreting Advertiser Intent in Sponsored Search
by tawny-fly
Bhanu C Vattikonda, Santhosh . kodipaka. , . hong...
JENA –A SEMANTIC WEB TOOL
JENA –A SEMANTIC WEB TOOL
by stefany-barnette
by . Ranjani. . Sankaran. . &. krishna. . ...
Peeking into the Plan Cache with SQL Server 2008
Peeking into the Plan Cache with SQL Server 2008
by karlyn-bohler
Bob Beauchemin. Developer Skills Partner, . SQLsk...
ADP/CES Reconciliation Reports
ADP/CES Reconciliation Reports
by debby-jeon
For institutions . with less volume the CES Recon...
SharePoint 2013 Search – A Developer’s Perspective
SharePoint 2013 Search – A Developer’s Perspective
by liane-varnes
Ryan . McIntyre. MCITP. , MCPD. Director. , Porta...
IR Theory:
IR Theory:
by faustina-dinatale
Relevance Feedback . Relevance Feedback: . Exampl...
Chapter
Chapter
by tawny-fly
5 . 6e . & 8 5e: Complex SQL. Prof. Steven A....
F ull technical
F ull technical
by luanne-stotts
details in: . Davide. . Mottin. , A. . Marascu. ...
Joint Relevance and Freshness Learning From
Joint Relevance and Freshness Learning From
by giovanna-bartolotta
Clickthroughs. for News Search. Hongning. Wang....
Optimize
Optimize
by olivia-moreira
Search Relevance in SharePoint 2013 . Victor Poz...
INFM 603: Information Technology and Organizational Context
INFM 603: Information Technology and Organizational Context
by debby-jeon
Jimmy Lin. The . iSchool. University of Maryland....
MICROSOFT ACCESS –
MICROSOFT ACCESS –
by ellena-manuel
CHAPTER . 3 CONTD.. Sravanthi Lakkimsetty. salakk...
IGMP and MLD Optimization in Wireless and Mobile Networks
IGMP and MLD Optimization in Wireless and Mobile Networks
by lois-ondreau
1. draft-liu-multimob-igmp-mld-wireless-mobile-00...
Introduction to
Introduction to
by luanne-stotts
Information Retrieval . Instructor : Marina Gavri...
Overview of Information Retrieval and Organization
Overview of Information Retrieval and Organization
by alexa-scheidler
CSC . 575. Intelligent Information Retrieval. 2. ...
Information
Information
by lindy-dunigan
Retrieval . to Knowledge . Retrieval. , one more ...
Deco Query Processing
Deco Query Processing
by phoebe-click
Hector Garcia-Molina, Aditya Parameswaran, Hyunju...
update
update
by tawny-fly
Persistent. Data . Structures. (Version . Contr...
MS&E 239
MS&E 239
by giovanna-bartolotta
Stanford University. Autumn 2009. Instructors. : ...
Hugh E. Williams
Hugh E. Williams
by lois-ondreau
Vice President, Experience, Search, and Platforms...
Lecture 14:
Lecture 14:
by marina-yarberry
Query Optimization. This Lecture. Query rewriting...
Serge
Serge
by tawny-fly
Abiteboul. Omar . Benjelloun. Bogdan. . Cautis. ...
SCOPE
SCOPE
by ellena-manuel
. Easy and Efficient Parallel Processing of Mass...
John P. John
John P. John
by pamella-moone
Fang Yu. Yinglian. . Xie. Martín. . Abadi. Arv...
Securing Web Applications
Securing Web Applications
by pasty-toler
Static and Dynamic Information Flow Tracking. Jas...
Utility of Considering
Utility of Considering
by calandra-battersby
M. ultiple . A. lternative . R. ectifications in ...
COSC 6114
COSC 6114
by alida-meadow
Prof. Andy Mirzaian. More Geometric. Data Structu...
399629
399629
by lois-ondreau
WEBSITE QUERIES FOR PRORATION. HOW TO STAY IN . C...
Shark:SQL
Shark:SQL
by lois-ondreau
and Rich Analytics at Scale. Presentaed. By. ...
Fine-grained Partitioning for Aggressive Data Skipping
Fine-grained Partitioning for Aggressive Data Skipping
by celsa-spraggs
Liwen. Sun, Michael J. Franklin, Sanjay Krishnan...
Analytical
Analytical
by tawny-fly
Queries on Road Networks: . An Experimental Evalu...
Travis Sansome
Travis Sansome
by ellena-manuel
NoSQL PaaS in Azure through . DocumentDB. DAT332....
Search Engines
Search Engines
by min-jolicoeur
Information Retrieval in Practice. All slides ©A...
Puget Sound Tow CTD chain Test
Puget Sound Tow CTD chain Test
by sherrill-nordquist
January 4, 2011 . . Participants:. Scientist ...