Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jason Schlachter"'
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783319933719
SBP-BRiMS
SBP-BRiMS
An important aspect of information operations (IO) are influence campaigns where a state actor or organizations under its control attempt to shift public opinion by framing information to support a narrative that facilitate their goals. If there is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d929ede1462c35a004a155ebb67f0ee3
https://doi.org/10.1007/978-3-319-93372-6_34
https://doi.org/10.1007/978-3-319-93372-6_34
Autor:
Naren Ramakrishnan, Luis Asencios Reynoso, Jason Schlachter, Sathappan Muthiah, Alicia Ruvinsky
Publikováno v:
Procedia Manufacturing. 3:4028-4035
Analysts and software systems are increasingly tasked with making sense of a growing amount of data to help their organizations make decisions involving risk and uncertainty. A key enabler of this work is the ability to quickly discover structure in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e71f1b1c8cc04465a93506339071b510
https://doi.org/10.1016/j.promfg.2015.07.972
https://doi.org/10.1016/j.promfg.2015.07.972
Publikováno v:
SPIE Proceedings.
Intelligence Analysis remains a manual process despite trends toward autonomy in information processing. Analysts need agile decision-‐support tools that can adapt to the evolving information needs of the mission, allowing the analyst to pose nov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebd0bed69dc699ca17ea4a104a584d85
https://doi.org/10.1117/12.2261997
https://doi.org/10.1117/12.2261997
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319416359
Analysts engaged in monitoring and forecasting benefit from the structured representations of domain knowledge and societal events that allow for the use of advanced analytics and predictive data models over large amounts of temporally extended data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45a46b3500eca9211e52f00f990af16
https://doi.org/10.1007/978-3-319-41636-6_12
https://doi.org/10.1007/978-3-319-41636-6_12
Autor:
Alexei Samoylov, Jason Schlachter
Publikováno v:
IEEE BigData
In this paper we describe a flexible and scalable big data ingestion framework based on Apache Spark. It is flexible in that meta-information about the data is used to build custom processing pipelines at run-time. It is scalable in that it leverages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::093a84fa63b2b21d19befb942d3fd03a
https://doi.org/10.1109/bigdata.2015.7364097
https://doi.org/10.1109/bigdata.2015.7364097
Publikováno v:
ICME Workshops
The explosion and newly found reliance on open media has enabled rapid situational assessment especially in austere, hard to reach environments (e.g., sites with natural disasters, places of political unrest). However, the data, while plentiful has l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d607fac6ad039001ac5b84dfbee9d7ae
https://doi.org/10.1109/icmew.2013.6618392
https://doi.org/10.1109/icmew.2013.6618392