An open framework for dynamic big-data-driven application systems (DBDDAS) development

Procedia Computer Science

Volumn 29, Issue , 2014, Pages 1246-1255

  Douglas, Craig C ^a,b  

^a UNIVERSITY OF WYOMING   (United States)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

Anomaly detection; Big data; DDDAS; Dynamic data driven applications; Open source software; Sensor networks; Uncertainty quantification

Indexed keywords

APPLICATION PROGRAMS; OPEN SOURCE SOFTWARE; OPEN SYSTEMS; SENSOR NETWORKS; SOFTWARE ENGINEERING;

ANOMALY DETECTION; APPLICATION-CONTROL; COMPUTATIONAL RESULTS; DATA-DRIVEN APPLICATIONS; DDDAS; DYNAMIC DATA; DYNAMIC DATA DRIVEN APPLICATION SYSTEMS; UNCERTAINTY QUANTIFICATIONS;

BIG DATA;

EID: 84902781306     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2014.05.112     Document Type: Conference Paper

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