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DAO 2017 : Data Analytics and Optimization

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Link: https://www.journals.elsevier.com/computers-and-operations-research/call-for-papers/call-for-papers-data-analytics-and-optimization
 
When Mar 1, 2018 - Mar 1, 2018
Where -
Submission Deadline Jul 15, 2017
Notification Due Sep 30, 2017
 

Call For Papers

The interplay between Optimization and Machine Learning is a fundamental step towards the modern decision sciences in the era of Big Data.

Machine learning researchers have exploited optimization models and algorithms to build automatic knowledge discovery from data while optimization approaches have latch on to machine learning because of their wide applicability and attractive theoretical properties.

The increasing complexity, size, and variety of today’s data analytics models presents new challenges for mathematical programming and optimization, and calls for both new development and enriched resurgence of operations research methods.

Optimization models and algorithms can improve the data-driven decision models by either formulating the pattern discovery and knowledge extraction problems or defining efficient algorithms for enabling machine learning at a massive scale.

This Special issue on “Data Analytics and Optimization” aims at gathering the ongoing cross-disciplinary research by involving operation research, machine learning and statistical methods to extract essential knowledge from huge volumes of data.

*Topics of Interest*

Optimization methods for machine learning
Analytics and Intelligent Optimization
Fuzzy Optimization in machine learning
Graphs and Networks Analytics
Algorithms for statistical model learning
Mathematical problem formulations for learning and inference

These and other related methodological, theoretical, and empirical contributions are all welcome.

**IMPORTANT DATES**

Submission start: February 15th, 2017
Paper submission deadline (extended): July 15th, 2017
Notification of Review Results: September 30th, 2017
Submission deadline for papers invited for revision: November 30th, 2017
Final decision of acceptance: December 30th, 2017
Desirable publication date: March 2018

*Guest Editors*

Elisabetta Fersini (Email - fersini@disco.unimib.it)
Francesca Guerriero (Email - francesca.guerriero@unical.it)
Enza Messina (Email - messina@disco.unimib.it)
Daniele Vigo (Email - daniele.vigo@unibo.it)

Related Resources

ICDM 2020   20th IEEE International Conference on Data Mining
LOPAL 2020   Second International Conference on Learning and Optimization Algorithms: Theory and Applications
DSAA 2020   IEEE International Conference on Data Science and Advanced Analytics
eBISS 2020   10th European Big Data Management & Analytics Summer School
IV-2 2020   24 International Conference on Information Visualisation
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP
IDA 2020   The 18th International Symposium on Intelligent Data Analysis (IDA 2020)
Big Data 2020   IEEE International Conference on Big Data
ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
MESS 2020   Metaheuristics Summer School 2020 :: Learning & Optimization from Big Data