Data processing system

Results: 1212



#Item
81Sensing the Invisible and Mapping the Future: Use Social Media and Big Data to Monitor Human Dynamics. PROF. Ming-Hsiang Tsou Professor of Geography, San Diego State University Director of the Center for Human Dynamics i

Sensing the Invisible and Mapping the Future: Use Social Media and Big Data to Monitor Human Dynamics. PROF. Ming-Hsiang Tsou Professor of Geography, San Diego State University Director of the Center for Human Dynamics i

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Source URL: www.isprs2016-prague.com

Language: English - Date: 2016-06-10 08:36:47
82GEOGRAPHIC INFORMATION PROCESSING IN THE PROBE DATABASE SYSTEM* Frank Manola, Jack Orenstem, Umeshwar Dayal Computer Corporation of America Four Cambridge Center Cambridge, Massachusetts 02142

GEOGRAPHIC INFORMATION PROCESSING IN THE PROBE DATABASE SYSTEM* Frank Manola, Jack Orenstem, Umeshwar Dayal Computer Corporation of America Four Cambridge Center Cambridge, Massachusetts 02142

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Source URL: mapcontext.com

Language: English - Date: 2008-08-30 00:26:32
83A STUDY OF SPATIAL DATA MANAGEMENT AND ANALYSIS SYSTEMS Clyde Christopher Jackson State University

A STUDY OF SPATIAL DATA MANAGEMENT AND ANALYSIS SYSTEMS Clyde Christopher Jackson State University

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Source URL: mapcontext.com

Language: English - Date: 2008-08-30 00:33:07
84Photochemistry and aerosol modeling Polyphemus Training Session About Purpose: introduction to the Polyphemus system : preprocessing raw data and launching one simulation. Very basic post-processing is also presented.

Photochemistry and aerosol modeling Polyphemus Training Session About Purpose: introduction to the Polyphemus system : preprocessing raw data and launching one simulation. Very basic post-processing is also presented.

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Source URL: cerea.enpc.fr

Language: English - Date: 2009-06-19 06:56:07
85C O M P U T E R M A P P I N G D E V E L O P M E N T AT T H E CITY OF CALGARY R E B E C C A M . S O M E R S , Computer Mapping Section, Data Processing Services Department, City of Calgary, Alberta, Canada

C O M P U T E R M A P P I N G D E V E L O P M E N T AT T H E CITY OF CALGARY R E B E C C A M . S O M E R S , Computer Mapping Section, Data Processing Services Department, City of Calgary, Alberta, Canada

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 23:56:29
86Processing outputs from a weather forecasting system in order to get ensemble streamflow predictions for free: do we get more than what we paid for? Vincent Fortin, Étienne Gaborit and Milena Dimitrijevic Recherche en p

Processing outputs from a weather forecasting system in order to get ensemble streamflow predictions for free: do we get more than what we paid for? Vincent Fortin, Étienne Gaborit and Milena Dimitrijevic Recherche en p

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Source URL: hepex.irstea.fr

Language: English - Date: 2016-06-20 10:41:30
87LISTA-Viz_IJGIS_accepted_with_figures

LISTA-Viz_IJGIS_accepted_with_figures

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Source URL: cognitivegiscience.psu.edu

Language: English - Date: 2010-11-15 07:24:19
88News: Version 3 Release Dear Colleagues, As many of you know, a new processing and data management system for AERONET has been under development for more than three years. We have been operating Version 2 (Ver. 2) since

News: Version 3 Release Dear Colleagues, As many of you know, a new processing and data management system for AERONET has been under development for more than three years. We have been operating Version 2 (Ver. 2) since

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Source URL: aeronet.gsfc.nasa.gov

Language: English - Date: 2016-07-13 22:51:49
89SPECIAL SECTION  DISTRIBUTED PROGRAMMING IN ARGU!S Argus-a programming language and system developed to support the implementation and execution of distributed programs-provides mechanisms that help programmers cope with

SPECIAL SECTION DISTRIBUTED PROGRAMMING IN ARGU!S Argus-a programming language and system developed to support the implementation and execution of distributed programs-provides mechanisms that help programmers cope with

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Source URL: css.csail.mit.edu

Language: English - Date: 2014-12-08 14:33:01
90Fast Data Management with Distributed Streaming SQL  speed layer for fast data, 2) batch layer for historical data, and 3) serving layer supporting queries on top of the results of the two layers. Some have gone beyond t

Fast Data Management with Distributed Streaming SQL speed layer for fast data, 2) batch layer for historical data, and 3) serving layer supporting queries on top of the results of the two layers. Some have gone beyond t

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Source URL: arxiv.org

Language: English - Date: 2015-11-12 20:42:55