posted by user: ijmmno || 6117 views || tracked by 11 users: [display]

NICDL 2018 : Nature-Inspired Computation in Data Mining and Machine Learning

FacebookTwitterLinkedInGoogle

Link: https://easychair.org/conferences/?conf=nicdl2018
 
When Oct 15, 2018 - Oct 31, 2018
Where Call for Book Chapters
Submission Deadline Oct 10, 2018
Notification Due Oct 20, 2018
Final Version Due Oct 31, 2018
Categories    optimization   nature-inspired algorithms   data mining   machine learning
 

Call For Papers

Nature-Inspired Computation in Data Mining and Machine Learning (NICDL2018)
"Call for Book Chapters"

[Due to many requests, the deadline has been extended. It is still possible
to submit your full book chapters by 10 Oct 2018.]

Nature-inspired computation, data mining and machine learning are three hot research areas in recent years. An edited book with the above title will be published by Springer in early 2019 to summarize the latest developments in these three areas with the emphasis on new techniques and applications as well as multidisciplinary interactions of these areas. We have already received 15 book chapters. Due to the diversity of the three areas covered in this book, we wish to invite more chapters to cover a more diverse range of topics.

Therefore, potential authors working in these areas are invited to contribute a book chapter in the following areas (but not limited to):
* Nature-inspired computation (NIC)
* Data mining (DM) techniques and applications
* Machine learning (ML) techniques and applications
* Big data and applications
* Artificial intelligence
* Swarm intelligence
* Evolutionary algorithms and metaheuristics
* Optimization methods and applications
* New methods and/or applications concerning NIC, DM and ML
* Other relevant algorithms and applications

Submissions are welcome via the EasyChair online submission system at
https://easychair.org/conferences/?conf=nicdl2018

Key dates:
Full chapter submission: 10 Oct 2018
Acceptance Notice: 20 Oct 2018
Final version: 31 Oct 2018

Chief Editor:
Prof. Xin-She Yang, Middlesex University, UK
email: x.yang ( at ) mdx.ac.uk

Related Resources

ICDM 2021   21st IEEE International Conference on Data Mining
ICDM 2021   21th Industrial Conference on Data Mining
iDSC 2021   4th International Data Science Conference
MLDM 2021   17th International Conference on Machine Learning and Data Mining
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
KDD 2021   27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
ai4i 2021   Artificial Intelligence for Industries (ai4i 2021)