Data science is a concept used to handle big data and includes data cleaning, preparation, and analysis. A data scientist gathers data from multiple sources and applies artificial intelligence, machine learning, predictive analytics, opinion mining and sentiment analysis to extract critical information from the collected data sets. They understand data and are able to provide accurate predictions and insights that can be used to power critical business decisions. Original research papers are solicited in any aspect of AI and machine learning applied approaches used in data science.

Aims and Scope:

1. Artificial intelligence tools & applications
2. Machine learning
3. Neural networks
4. Probabilistic reasoning
5. Evolutionary computing
6. Pattern recognition
7. Heuristic planning strategies and tools
8. Data mining and machine learning tools
9. Reactive distributed AI
10. Natural language processing
11. Hybrid intelligent systems
12. Intelligent system architectures
13. Cognitive informatics
14. Semantic web techniques and technologies
15. Visual analytics
16. Image processing techniques for healthcare applications