活动简介

DMBD'2024: 3rd Call for Papers

Name: The Ninth International Conference on Data Mining and Big Data (DMBD'2024)
URL: https://www.iasei.org/dmbd2024/
Dates: December 13th-16th, 2024
Location: Ho Chi Minh City, Vietnam

Important Dates:
Septemper, 30th, 2024: Deadline for Paper Submission (https://easychair.org/conferences/?conf=dmbd2024)
October 30th, 2024: Notification of Acceptance (https://iasei.org/dmbd2024/)

The Ninth International Conference on Data Mining and Big Data ([*ACRONYM*]) 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. [*ACRONYM*] is the ninth event after the preceding Sanya, Beijing, Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka and Bali 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. For more information, please visit the official website at http://www.iasei.org/dmbd2024/ .
Sponsored and Co-sponsored by International Association of Swarm and Evolutionary Intelligences, Institute for Artificial Intelligence, Peking University, Southern University of Science and Technology. Technically Co-sponsored/supported by IEEE Computational Intelligence Society, IEEE Beijing Chapter, World Federation of Soft Computing, International Neural Network Society, Springer-Nature, CCIS, Beijing Xinghui High-Tech Co. etc.(more to be added).
DMBD2024 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.
Papers presented at DMBD2024 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.) and Journal Special Issues at several journals including: International Journal of Intelligence System (IJIS, IF=10.78), Machine Learning with Applications (IF=8.67), Electronics (IF=2.9), Research Reports on Computer Science (RRCS), etc.

You are welcome to submit your latest papers to DMBD'2024! We are expecting you at Ho Chi Minh City this December!

DMBD'2024 Secretariat
Email: dmbd2024@iasei.org
WWW: https://iasei.org/dmbd2024/
 

征稿信息

重要日期

2024-09-30
初稿截稿日期

 

Data Mining Big Data FinTech Applications
  • 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
  • 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
  • Quantitative investment
  • Intelligent investment strategy
  • Quantitative strategy
  • Quantization system
  • Market microstructure
  • Risk prediction
  • Credit modeling
  • Financial theories
  • Financial intelligent system
  • Financial Large-scale model
  • 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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重要日期
  • 会议日期

    12月13日

    2024

    12月16日

    2024

  • 09月30日 2024

    初稿截稿日期

主办单位
Peking University
承办单位
Peking University
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