Difference between revisions of "BIDAF"
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| − | |ProjectResponsible= | + | |ProjectResponsible=Slawomir Nowaczyk |
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|ProjectEnd=2019/10/31 | |ProjectEnd=2019/10/31 | ||
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| + | |projectpartner=SICS | ||
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| + | |projectpartner=University of Skövde | ||
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| − | + | BIDAF is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, SICS Swedish ICT AB, and University of Skövde, Sweden. The overall aim of the BIDAF project is to significantly further the research within massive data analysis, by means of machine learning, in response to the increasing demand of retrieving value from data in all of society. This will be done by creating a strong distributed research environment for big data analytics. | |
| + | There are challenges on several levels that must be addressed: | ||
| + | - Platforms to store and process the data | ||
| + | - Machine learning algorithms to analyze the data | ||
| + | - High level tools to access the results | ||
| + | |||
{{ShowProjectPublications}} | {{ShowProjectPublications}} | ||
Revision as of 15:25, 19 October 2017
Big Data Analytics Framework for smart society
| BIDAF | |
| Project start: | |
|---|---|
| 1 November 2014 | |
| Project end: | |
| 29 February 2020 | |
| More info (PDF): | |
| [[media: | pdf]] | |
| Contact: | |
| Slawomir Nowaczyk | |
| Application Area: | |
| [[]] | |
Involved internal personnel
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Involved external personnel
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Involved partners
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Abstract
BIDAF is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, SICS Swedish ICT AB, and University of Skövde, Sweden. The overall aim of the BIDAF project is to significantly further the research within massive data analysis, by means of machine learning, in response to the increasing demand of retrieving value from data in all of society. This will be done by creating a strong distributed research environment for big data analytics.
BIDAF is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, SICS Swedish ICT AB, and University of Skövde, Sweden. The overall aim of the BIDAF project is to significantly further the research within massive data analysis, by means of machine learning, in response to the increasing demand of retrieving value from data in all of society. This will be done by creating a strong distributed research environment for big data analytics. There are challenges on several levels that must be addressed: - Platforms to store and process the data - Machine learning algorithms to analyze the data - High level tools to access the results
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