The aim of The first International Symposium on Data Science and Computational Intelligence (DSCI 2017) is to bring together researchers and practitioners from different disciplines (statistics, automated learning, database, optimization, etc.) to discuss the different challenges in the field of Massive structured and unstructured data analysis and computation intelligence to enable speakers to present their latest advances in this area. Submitted papers should be in accordance with IEEE format, and will be reviewed by at least two expert reviewers in terms of relevance, originality, contribution, correctness, and presentation.
Authors are encouraged to submit their original work, which is not submitted elsewhere, to this workshop. The topics of DSCI17 are grouped in three tracks (but are not limited to):
Data flow analysis
Data flows analysis methods
Social network flows analysis
Multiple views and multi-views for data flow
Heterogeneous sources flows process
Bio-inspired methods for processing data streams
Multimedia streaming
2. Data mining
Extraction of sequential patterns in data
Clustering and classifying data
Class change detection
Outliers detection and processing
Feature evolving
3.Computational Intelligence
Foundations of Computational Intelligence
Machine Learning
Deep learning
Reinforcement Learning
Swarm Intelligence
·Ubiquitous Computing
Data storage and prototyping
