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DMBD 2023 : 8th International Conference on Data Mining and Big Data


When Dec 9, 2023 - Dec 12, 2023
Where Sanya, China
Submission Deadline Sep 28, 2023
Notification Due Nov 1, 2023
Final Version Due Nov 26, 2023
Categories    data mining   big data   fintech   intelligent diagnosis

Call For Papers

The Eighth International Conference on Data Mining and Big Data (DMBD' 2023) 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. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information Big data contains huge amount of data and information and is worth researching in depth.

DMBD'2023 is the eighth event after the preceding Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka, Bali and Beijing events where more than hundreds of delegates from all over the world to attend and share their latest achievements, innovative ideas, marvelous designs and excel implementations.

This year's main theme is FinTech, and we will pay special attention to technologies and applications in the area of FinTech.

DMBD'2023 will be held during December 9th-12th, 2023 in Sanya, China. Sanya,located in the southernmost of Hainan Island, known as Lucheng, also known as "Eastern Hawaii", is the southernmost tropical coastal tourism city in China. It ranks first among China's four first-tier tourist cities "Sanwei Hangxia" and boasts the most beautiful seaside scenery on the island.

Papers presented at DMBD'2023 will be published Springer-Nature in Communications in Computer and Information Science (CCIS) (indexed by EI, ISTP, DBLP, SCOPUS, ISI, Web of Science, etc.) The downloads of our meeting's proceedings reach the top 25% of all publications of Springer-Nature.


1. Data Mining
Classification and prediction
Clustering task
Case-Based,Similarity-Based reasoning
Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
Systems for data mining
Machine learning
Reinforcement learning
Meta learning

2. Big Data
Data models and architectures
Deep learning architectures for handling big data
Privacy and security in big data analytics
Online and adaptive learning for big data streams
Data analytics and metrics
Tools and technologies QoS in big data
Large-scale text generation model
Large-scale generative adversarial network
Other large-scale model

3. FinTech
Quantitative investment
Intelligent investment strategy
Quantitative strategy
Quantization system
Market microstructure
Risk prediction
Credit modeling
Financial theories
Financial intelligent system
Financial Large-scale model

4. Applications
Techniques for Big Data Processing
Fraud detection and anomaly detection in large-scale datasets
Big data analytics for business intelligence
Smart city applications and urban analytics
Financial data analysis and stock market prediction
Recommender systems for online platforms and personalized recommendations
Network security
Intelligent diagnosis
Other applications

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