posted by user: kammax || 515 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

COMML 2020   International Conference on Optimization, Metaheuristics and Machine Learning
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
CyberSA 2019   IEEE International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA 2019)
COCOA 2018   The 12th Annual International Conference on Combinatorial Optimization and Applications
IUI 2019   ACM Conference on Intelligent User Interfaces
COMPSAC 2019   COMPSAC 2019: Data Driven Intelligence for a Smarter World
Data SI Semantic Analytics for Big Data 2018   Data Journal Special Issue on Semantics in the Deep: Semantic Analytics for Big Data
Journal Special Issue 2019   Machine Learning on Scientific Data and Information
DSTAA 2019   Taylor and Francis - DSTAA 2019 : Call for Book Chapters - Data Science: Theory, Analysis, and Applications