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DSIS 2019 : ISSAT International Conference on Data Science and Intelligent Systems

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Link: https://www.issatconferences.org/dsis2019.html
 
When Aug 1, 2019 - Aug 3, 2019
Where Las Vegas, Nevada, USA
Submission Deadline Mar 31, 2019
Notification Due Apr 15, 2019
Final Version Due May 15, 2019
Categories    data science   intelligent systems   machine learning   data mining
 

Call For Papers

Theme of Conference:
The 2019 ISSAT International Conference on Data Science and Intelligent Systems (ISSAT DSIS 2019) aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data and advanced analytics, for discussion and exchange of ideas on the latest theoretical developments in Data Science and Intelligent Systems as well as on the best practices for a wide range of applications.

Papers may address any aspect of data science and intelligent systems. Papers dealing with industrial case studies, experimental and theoretical works on data science and intelligent systems along with their application to real life situations are of particular interest.


Organizer and Sponsor
International Society of Science and Applied Technologies (ISSAT)


Conference Chair
Hoang Pham, FIEEE, FIIE, Rutgers University, USA

Program Chairs
Suprasad Amari, BAE Systems, USA
Taghi M. Khoshgoftaar, Florida Atlantic University, USA

Tutorial Chair
Yanjie Fu, Missouri University of Science and Technology, USA


Topics of Interest:

Data Science
Big Data modeling and prediction
Data analytics and machine learning
Statistical learning algorithms, models and theories
Machine learning theories, models and systems
Data mining, text mining and deep machine learning
Data pre-processing and sampling
Feature selection and development
Large scale optimization
High performance computing for data analytics
Architecture and management for data science
Web and social text mining
Cloud computing and service data analysis
Efficient management of data acquisition
Intelligent analysis of large spatial data

Intelligent Systems
Intelligent service systems and semantic computing
Uncertainty modeling of intelligent systems
Smart infrastructure design
Intelligent robots and unmanned systems
Cyber security, privacy and trust
Intelligent vehicles and autonomous cars
Smart industrial automation and manufacturing
Automated data exploration and knowledge discovery
Dependability and reliability of intelligent systems
Human wearable sensors and technologies
Intelligent safety systems and risk management
Smart healthcare and energy power systems
Human-artificial systems integration
Intelligent pervasive and ubiquitous computing

Applications
Large scale application case studies in intelligent systems
Best practices and lessons learned on developing products in complex systems
Challenges in data science and advanced analytics
Data science and intelligent systems for real world applications


Submission of Papers:
Authors are invited to submit full manuscripts by February 15, 2019. All submissions should be made electronically through the EasyChair system. Papers must be original and have not been published or submitted for publication elsewhere.

Submission link:
https://easychair.org/account/signin.cgi?key=77499571.kz4qVUPcUey7dVGF


Contact:
Email: dsis@issatconferences.org

Related Resources

DSIS 2020   2nd ISSAT International Conference on Data Science and Intelligent Systems
IWUAS 2020   2020 International Workshop on Unmanned Aircraft Systems (IWUAS 2020)
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
SDM 2020   SIAM International Conference on Data Mining
Journal Special Issue 2019   Machine Learning on Scientific Data and Information
ICIIP 2019   【ACM ICPS EI SCOPUS】2019 4th International Conference on Intelligent Information Processing
ICCMC 2020   Scopus-Indexed IEEE 4th International Conference on Computing Methodologies and Communication
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium
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CDMA 2020   6th Int’l Conference on Data Science and Machine Learning Applications (CDMA 2020)