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Daniel Aloise
M.Sc. (PUC-Rio, Brésil) et un Ph.D. (Poly)

Phone: (514) 340-4711 Ext. 4891 Fax: (514) 340-5139 Room: M-3410
Student research project(s)

Research interests and affiliations

Research interests

• Data Science • Big Data • Optimization • Mathematical Programming

Expertise type(s) (NSERC subjects)
  • 1601 Operations research and management science
  • 2510 Adaptive, learning and evolutionary systems
  • 2713 Algorithms
  • 2715 Optimization

Publications

Recent publications
Journal article
Mariz, F.B.A.R., Almeida, M.R. & Aloise, D. (2017). A review of Dynamic Data Envelopment Analysis: state of the art and applications. International Transactions in Operational Research, 25, 469-505. Retrieved from https://doi.org/10.1111/itor.12468
Journal article
Blanchard, S.J., Aloise, D. & DeSarbo, W.S. (2017). Extracting Summary Piles from Sorting Task Data. Journal of Marketing Research, 54(3), 398-414. Retrieved from https://doi.org/10.1509/jmr.15.0388
Journal article
Costa, L.R., Aloise, D. & Mladenovi, N. (2017). Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering. Information Sciences, 415-416, 247-253. Retrieved from https://doi.org/10.1016/j.ins.2017.06.019
Journal article
Pyatkin, A., Aloise, D. & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45. Retrieved from https://doi.org/10.1016/j.patrec.2017.05.033