DMBD 2022 : 7th International Conference on Data Mining and Big Data

The Seventh International Conference on Data Mining and Big Data (DMBD'2022)

The Seventh International Conference on Data Mining and Big Data (DMBD'2022) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, algorithms, models, and applications of data mining and big data as well as artificial intelligence techniques. The main theme of this year DMBD'2022 is FinTech.

 

The DMBD'2022 is the seventh event after the preceding Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka and Bali events where more than hundreds of delegates from all over the world get together to share their latest achievements, innovative ideas, marvelous designs and excel implementations.

 

The main theme of this year is FinTech, and special attention will be given to technologies and applications in this area. DMBD 2022 aims to collect a wide range of articles from both data mining and its application to finance, it encourages original research papers of high quality that focus on novel ways of using AI techniques to solve finance problems.

 

Topics of interest of the conference are as follows:
1. FinTech
Quantitative investment
Market microstructure
Fraud detection
Risk prediction
Credit modeling
Individual financing
Financial theories
Financial activities modeling
Financial intelligent system

 

2. Data mining
Machine learning
Statistical learning
Supervised learning
Unsupervised, self-supervised learning
Few-shot learning
Transfer learning
Reinforcement learning
Meta learning
Systems for data mining
Mining text, semi-structured, spatiotemporal, streaming, graph, web, multimedia data
Personalization and recommendation systems
Case-based reasoning
Similarity-based reasoning

 

3. Big Data
Data models and architectures
Security, privacy, and trust
Data protection and integrity
Identity theft, data loss and leakage
Legal and ethical issues
Data analytics and metrics
Data representation and structures
Data management and processing
Data capturing and acquisition
Tools and technologies QoS in big data

 

4. Applications
Social networks analysis
Data searching and mining
Visualisation of data
Personal data logging and quantified-self
Context-aware data
Data economics
Applications of data mining and big data
Methodologies and use cases
Usability issues
Storages and network requirements
Network models and protocols
Big data in cloud and IoT
Techniques for Big Data Processing

 

For details about the conference, please visit the DMBD official website at https://iasei.org/dmbd2022