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.


Topics of interest include, but are not limited to:

Fintech
Quantitative investment
Market microstructure
Fraud detection
Risk prediction
Credit modeling
Individual financing
Financial theories
Financial activities modeling
Financial intelligent system

Data Mining
Theory, algorithms and models of data mining
Machine learning for data mining
Statistical methods for data mining
Data mining systems
Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
Data mining in personalization and recommendation
Case-Based Reasoning
Similarity-Based Reasoning
Clustering
Classification
Prediction

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

Applications
Social networks analysis
Data searching and mining
Visualisation of data
Personal data logging and quantified-self
Context-aware data
Data economics
Applications of datamining 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