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ICCIDS 2017 : IEEE International Conference on Computational Intelligence in Data Science

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Link: http://www.iccids.in
 
When Jun 2, 2017 - Jun 3, 2017
Where Chennai
Submission Deadline Apr 10, 2017
Notification Due Apr 25, 2017
Final Version Due May 25, 2017
Categories    computational intellignece   machine learning   data science   artificial intelligence
 

Call For Papers

We invite high-quality submissions describing original and unpublished work for the conference. Accepted submissions will be included in the IEEE Xplore Digital Library.

All submissions will be subject to plagiarism check. Papers submitted for consideration should not have been published elsewhere and should not be under review or submitted for review elsewhere during the duration of consideration. At least one author of an accepted paper must register for the conference and present the paper in the conference. Only the presented papers will be included in the proceedings.

Papers that do not make the grade for publication, yet show promise, may be selected for poster presentation instead. If you are specifically interested in submitting a poster, then please ensure that the paper does not exceed 4 pages (including figures, references and appendices).

Topics of Interest
The theme of this conference is use of Computational Intelligence in Big Data. The papers need not be based only on this theme. Topics of interest for the conference include, but are not restricted to:

Topics
Foundations

Probabilistic and statistical models and theories
Machine Learning algorithms for high-velocity streaming data
Scalable analysis and learning
Data pre-processing, sampling and reduction
High dimensional data, feature selection and feature transformation
High performance computing for data analytics
Architecture, management and process for data science
Data analytics, machine learning and knowledge discovery

Knowledge discovery theories, models and systems
Learning for streaming data
Intent and insight learning
Cross-media data analytics
Big data visualization, modeling and analytics
Multimedia/stream/text/visual analytics
Computational Intelligence and Big Data Analytics

Computational theories for big data analysis
Incremental learning – theory, algorithms and applications in big data
Sparse data, feature selection, feature transformation – theory, algorithms and applications for big data
Associative memories
Probabilistic and information-theoretic methods
Supervised, unsupervised and reinforcement learning
Support vector machines and kernel methods
Time series analysis
Algorithms and libraries - Optimization for Big Data Analytics

Related Resources

ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
ECCV 2018   European Conference on Computer Vision
DISC 2018   Special Issue on Data Intelligence in Sustainable Computing, Journal of Sustainable Computing: Informatics and Systems
UAI 2018   The Conference on Uncertainty in Artificial Intelligence
IEEE SSCI 2018   2018 IEEE Symposium on Computational Intelligence
ACML 2018   The 10th Asian Conference on Machine Learning
CIIS 2018   Computational Intelligence in Information Systems
ICANN 2018   27th International Conference on Artificial Neural Networks
BDCAT 2018   5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies
ficc2019   Future of Information and Communication Conference (FICC) 2019