Data Science, as a highly interdisciplinary field, is playing a more and more critical and central role in the development of cyberspace and various applications. Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing.
A certain number of student travel awards will be provided for student authors to attend the conference and present their work. The awards will include complementary registrations, conference banquets, and travel support. Details will be announced soon.
Call for paper
Topics of submission
The IEEE International Conference on Data Science in Cyberspace (DSC) will bring together researchers and practitioners in the field of data science. IEEE DSC 2016 invites submissions on a wide spectrum of topics, including but not limited to the following areas:
1. Data Science
2. Big Data
3. Data Intensive Applications in Cyberspace
4. Data Intensive Systems
5. Social Networks and Social Media
6. Data Mining, Knowledge Discovery and Machine Learning
7. Information Retrieval and Smart Search
8. Cyberspace Security
9. Network Wisdom