posted by user: ijmmno || 9812 views || tracked by 10 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

AIBB 2027   The 8th Joint International Conference on AI, Big Data and Blockchain
Ei/Scopus-AI2A 2026   2026 IEEE 6th International Conference on Artificial Intelligence, Automation and Algorithms (AI2A 2026)
DTMN 2026   2th International Conference on Data Mining
AMLDS 2027   IEEE--2027 3rd International Conference on Advanced Machine Learning and Data Science
ICCDA 2026   2026 The 10th International Conference on Computing and Data Analysis (ICCDA 2026)
Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)
BDIOT 2026   ACM--2026 10th International Conference on Big Data and Internet of Things (BDIOT 2026)
AAIML 2027   IEEE--2027 2nd International Conference on Advances in Artificial Intelligence and Machine Learning
AIFZ 2026   12th International Conference on Artificial Intelligence and Fuzzy Logic Systems
AIxDKE 2027   International Conference on AI x Data & Knowledge Engineering