Recent Advances in Data Mining and Big Data

Prospective authors are invited to submit their original unpublished manuscripts for consideration for a special issue of the Springer Nature Computer Science.

Data mining involves exploring and analyzing large amount of information to glean meaningful patterns and trends with machine learning techniques. It can be used in a variety of ways, such as database marketing, credit risk management, fraud detection, spam Email filtering, or even to discern the sentiment or opinion of users.

We invite novel contributions that are based on (but not limited to) the following topics as they pertain to applications of swarm intelligence and data mining

• Machine learning
• Statistical learning
• UAV control, intelligent transport
• Information security
• Bioinformatics, computational biology
• Applications of data mining and big data
• Social networks analysis
• FinTech

Guest Editors

• Prof. Ying Tan, Peking University
• Prof. Yuhui Shi, Southern University of Science and Technology