posted by organizer: fersiniel || 6053 views || tracked by 15 users: [display]

SI: COMPUTERS & OR 2017 : SI: COMPUTERS & OR 2017 : Special issue on DATA ANALYTICS and OPTIMIZATION at COMPUTERS & OPERATIONS RESEARCH (Elsevier)

FacebookTwitterLinkedInGoogle

Link: https://www.journals.elsevier.com/computers-and-operations-research/call-for-papers/call-for-papers-data-analytics-and-optimization
 
When N/A
Where N/A
Submission Deadline Jun 15, 2017
Notification Due Sep 30, 2017
Final Version Due Dec 30, 2017
Categories    machine learning   optimization
 

Call For Papers

*Call for papers*

call available at: https://www.journals.elsevier.com/computers-and-operations-research/call-for-papers/call-for-papers-data-analytics-and-optimization

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: June 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

CCBD--Ei Compendex & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2020)--Ei Compendex & Scopus
ICDM 2020   20th IEEE International Conference on Data Mining
IEEE ISNCC 2020   2020 IEEE International Symposium on Networks, Computers and Communications
NeurIPS 2020   Thirty-fourth Conference on Neural Information Processing Systems
ITAS--EI Compendex, Scopus 2021   2021 Information Technology & Applications Symposium (ITAS 2021)--EI Compendex, Scopus
MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
CCBD--Ei & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
AI, Data Analytics and Blockchain JIEM 2020   Emerging Trends and Impacts of the rise of AI, Data Analytics and Blockchain, Journal of Enterprise Information Management (JIEM, Q1)
FDAE_AI_BDA 2020   Special Issue on Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics