1. No category

Call for Papers
Mathematical Programming, Series B
Special Issue on Optimization Models
and Algorithms for Data Science
Data and decisions are more strongly linked in the information age than ever before. This special
issue focuses on modelling and optimization approaches that deal with large data sets, as well as
applications from business analytics and machine learning that have emerged in the last decades
as data accumulates from multiple sources such as internet traffic, social and sensor networks.
Successful submissions to this call are expected to provide a substantial methodological
contribution to
- data-related modelling issues in optimization, such as tractable reformulations of problems
involving uncertain data (e.g. using stochastic, robust or data-driven optimization techniques); or
- numerical solution schemes for optimization problems involving large data sets, such as solution
approaches for large, sparse optimization problems or real-time optimization methods.
This call is being advertised via the British-French-German Conference on Optimization 2015
(optimisation.doc.ic.ac.uk/bfg2015). Attendance at the conference is not a pre-requisite for
submitting a paper to the special issue, however.
Authors should submit their papers via http://www.editorialmanager.com/mapr/ and select article
type "S.I.: Data Science — Series B" for consideration in this special issue.
Papers will be refereed according to the standards of Mathematical Programming, Series A. We
are requesting that all papers be submitted using MP style files, and conform to a maximum of 25
pages. The necessary LaTeX files can be downloaded at www.eng.cam.ac.uk/~dr241/MPB/MPBSpringer-latex-style-files.zip.
Deadline for submission of full papers: December 1, 2015. We aim at completing a first review of
all submissions by May 15, 2016.
Additional information about the special issue can be obtained from the guest editors.
Guest Editors:
Ruth Misener
Department of Computing
Imperial College London
London SW7 2AZ, U.K.
[email protected]
Danny Ralph
Judge Business School
University of Cambridge
Cambridge CB2 1AG, U.K.
[email protected]
Panos Parpas
Department of Computing
Imperial College London
London SW7 2AZ, U.K.
[email protected]
Wolfram Wiesemann
Imperial College Business School
Imperial College London
London SW7 2AZ, U.K.
[email protected]