DMBD' 2023: The Eighth International Conference on Data Mining and Big Data Yalong Bay Hotel Sanya, China, December 9-12, 2023 |
Conference website | http://www.iasei.org/dmbd2023/ |
Submission link | https://easychair.org/conferences/?conf=dmbd2023 |
Abstract registration deadline | August 31, 2023 |
Submission deadline | September 28, 2023 |
Notification of Acceptance | October 15, 2023 |
Author Registration | October 31, 2023 |
Call For Papers and Special Session Proposals for DMBD' 2023
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.
This year's main theme is FinTech, and we will pay special attention to technologies and applications in the area of FinTech.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers and Posters.
For submission details, please visit https://iasei.org/dmbd2023/submission .
List of Topics
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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
Committees
Organizing committee
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General Chair
Ying Tan, Peking University, Beijing, China
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Program Committee Chair
Yuhui Shi, Southern University of Science and Technology, Shenzhen, China
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Advisory Committee Co-chairs
Xingui He, Peking University, Beijing, ChinaGary G. Yen, Oklahoma State University, Oklahoma, USA
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Technical Committee
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Benjamin W. Wah, The Chinese University of Hong Kong, Hong Kong, China; Guoying Wang, Chongqing University of Posts and Telecommunications, Chongqing, China; Enhong Chen, University of Science and Technology of China, Hefei, China; Fernando Buarque, Universidade of Pernambuco, Recife, Brazil; Haibo He, University of Rhode Island Kingston, Rhode Island, USA; Jihong Zhu, Tsinghua University, Beijing, China; Jin Li, Guangzhou University, Guangzhou; Kay Chen Tan, The Hong Kong Polytechnic University, Hong Kong, China; Nikola Kasabov, Auckland University of Technology, Auckland, New Zealand; Qirong Tang, Tongji University, Shanghai, China; Yew-Soon Ong, Nanyang Technological University , Singapore; Yi Zhang, Sichuan University, Chengdu, China
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Invited Speakers Session Co-chairs
Andres Iglesias, University of Cantabria, SANTANDER, Spain; Shaoqiu Zheng, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing,China
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Special Session Co-chairs
Ben Niu, Shenzhen University, Shenzhen, China; Kun Liu, Advanced Institute of Big Data, China
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Publication Co-chairs
Radu-Emil Precup, Politehnica University of Timisoara, Timisoara, Romania; Weiwei Hu, Tencent Corporation, Beijing, China
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Publicity Co-chairs
Eugene Semenkin, Siberian Aerospace University, Krasnoyarsk, Russia; Junqi Zhang, Tongji University, Shanghai, China
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Finance and Registration Chairs
Andreas Janecek, University of Vienna, Vienna, Austria; Suicheng Gu, Google Corporation, San Franocisco, USA
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Conference Secretariat
Wenbo Yan, Peking University, Beijing, China
Publication
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. 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
- ...
.
Venue
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.
Sanya is an amazing place with beautiful beaches, rainforests, coral reefs and beautiful mountains, as well as rich culture and cuisine. Yalong Bay, known as the "first Bay under heaven", has a silver beach, fine sand, clean and transparent sea water. You can see the coral clearly, showing several different blue colors from the distance.
Contact
All questions about submissions should be emailed to dmbd2023@iasei.org