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03570nam a22005655i 4500 |
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978-3-319-24154-8 |
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20151218071451.0 |
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150911s2015 gw | s |||| 0|eng d |
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|a 9783319241548
|9 978-3-319-24154-8
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|a 10.1007/978-3-319-24154-8
|2 doi
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|a Q342
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|a COM004000
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|a 006.3
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|a Operations Research and Big Data
|h [electronic resource] :
|b IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO) /
|c edited by Ana Paula Ferreira Dias Barbosa Póvoa, Joao Luis de Miranda.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a IX, 256 p. 51 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Studies in Big Data,
|x 2197-6503 ;
|v 15
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|a A model to minimize costs and promote species persistence under climate change -- A Fix-and-Relax algorithm for solving parallel and sequential versions of a multi-period multi- product closed loop supply chain design and operation planning model -- Efficiency in Increasing Returns of Scale Frontier -- Modeling inter-sector health policy options and health gains in a long-term care network: a location-allocation stochastic planning approach -- Optimization of construction and demolition waste management: Application to the Lisbon Metropolitan Area.
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|a The development of Operations Research (OR) requires constant improvements, such as the integration of research results with business applications and innovative educational practice. The full deployment and commercial exploitation of goods and services generally need the construction of strong synergies between educational institutions and businesses. The IO2015 -XVII Congress of APDIO aims at strengthening the knowledge triangle in education, research and innovation, in order to maximize the contribution of OR for sustainable growth, the promoting of a knowledge-based economy, and the smart use of finite resources. The IO2015-XVII Congress of APDIO is a privileged meeting point for the promotion and dissemination of OR and related disciplines, through the exchange of ideas among teachers, researchers, students , and professionals with different background, but all sharing a common desire that is the development of OR.
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|a Engineering.
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|a Production management.
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|a Data mining.
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|a Operations research.
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|a Management science.
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|a Statistics.
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|a Computational intelligence.
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|a Engineering.
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|a Computational Intelligence.
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|a Operations Research, Management Science.
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|a Operations Management.
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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|a Data Mining and Knowledge Discovery.
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|a Póvoa, Ana Paula Ferreira Dias Barbosa.
|e editor.
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|a de Miranda, Joao Luis.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319241524
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|a Studies in Big Data,
|x 2197-6503 ;
|v 15
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|u http://dx.doi.org/10.1007/978-3-319-24154-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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