posted by user: kammax || 764 views || tracked by 2 users: [display]

DAO 2017 : Data Analytics and Optimization

FacebookTwitterLinkedInGoogle

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

MDPI-SI-BDHA 2021   Call for Papers: Special Issue “Big Data for eHealth Applications” (MDPI Applied Sciences, IF 2.474 – Indexed on Scopus, Web of Science)
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
I-SMAC 2021   5th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)
ACML 2021   The 13th Asian Conference on Machine Learning
DATA ANALYTICS 2021   The Tenth International Conference on Data Analytics
LOD 2021   The 7th Online & Onsite International Conference on Machine Learning, Optimization & Data Science
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
BDIoT 2021   5th International Conference on Big Data and Internet of Things - BDIoT’21
IoT Edge Computing AI 2021   Edge Computing Optimization Using Artificial Intelligence Methods
IEEE DSAA 2021   8th IEEE International Conference on Data Science and Advanced Analytics