A PDF version of the call-for-papers is available at:
https://iasei.org/dmbd2024/files/CFP.pdf

The Ninth International Conference on Data Mining and Big Data (DMBD' 2024) 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'2024 is the ninth event after the preceding Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka, Bali, Beijing and Sanya 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.

DMBD'2024 will be held during December 13th-16th, 2024 in Ho Chi Minh City, Vietnam. Ho Chi Minh City, formerly known as Saigon, is the largest city in Vietnam by population. Located in the southern part of the country, it serves as a vital economic, cultural, and educational hub. The city is renowned for its vibrant street life, bustling markets, and a unique blend of architectural styles that reflect its historical layers, ranging from French colonial buildings to modern skyscrapers.

The city's culinary scene is a paradise for food lovers, featuring a wide array of delicious Vietnamese dishes such as pho, banh mi, and fresh spring rolls. Whether you're exploring the narrow alleys of Chinatown or the trendy cafes and shops of District 1, Ho Chi Minh City offers a dynamic and captivating experience for all visitors.

Papers presented at DMBD'2024 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. Some high-quality papers will be selected for SCI-indexed Transaction (including IEEE Trans, Swarm and Evolutionary Optimization, etc.) and Journal Special Issues, such as:

International Journal of Intelligence System (IF=8.71)
Electronics (IF=2.690)
Multimedia Tools and applications (IF=2.58)
Machine Learning with Applications (IF=8.67)
IASEI Transactions on Swarm Intelligence


Topics:

* 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

* 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

* 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

* 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