Bibliographie
SIMBig 2017
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SIMBig 2017 - 4th Annual International Symposium on Information
Management and Big Data
4-6 September 2017 - Lima, PERU
http://simbig.org/SIMBig2017/
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OVERVIEW
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Several domains have been affected by Big Data. Therefore there is a
need to understand and exploit all kind of data. This process can be
carried out thanks to "Data Science", which is based on methodologies of
Data Mining, Natural Language Processing, Semantic Web, Statistics,
etc. SIMBig seeks to present new methods of Data Science and related
fields.
KEYNOTE SPEAKERS
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Jiawei Han, University of Illinois, USA
Ravi Kumar, Google, USA
Clement Jonquet, University of Montpellier (France) - Stanford
University (USA)
and more ...
PUBLICATION
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SIMBig 2017 proceedings will be indexed by Springer.
IMPORTANT DATES
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31 May 2017 -> Full papers short papers and demonstration due
30 June 2017 -> Acceptance notifications
4 - 6 September 2017 —> Conference held in Lima, Peru
TOPICS OF INTEREST
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SIMBig2017 has a broad scope. We invite contributions on theory and
practice, including but not limited to the following technical areas :
Data Science
Big Data
Data Mining
Natural Language Processing
Semantic Web
Bio NLP, Healthcare Informatics
Text Mining
Information Retrieval
Machine Learning
Ontologies, Knowledge Representation, Linked Open Data
Social Networks, Social Web, and Web Science
Information visualization
OLAP, Data warehousing, Business intelligence
Spatiotemporal Data
Agent-based Systems
Constraints, Satisfiability, and Search
CONTACT
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SIMBig2017 General Chairs
Juan Antonio Lossio-Ventura, University of Florida, USA
(jlossioventura@ufl.edu)
Hugo Alatrista-Salas, Universidad del Pacífico, Peru
(h.alatristas@up.edu.pe)