Conference Information
MLBDBI 2022: International Conference on Machine Learning, Big Data and Business Intelligence
http://www.mlbdbi.org/
Submission Date:
2022-10-28 Extended
Notification Date:
2022-10-28
Conference Date:
2022-10-28
Location:
Shanghai, China
Years:
4
Viewed: 1378   Tracked: 5   Attend: 0

Call For Papers
The First International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2019) was successfully taken place on November 8-10, 2019 in Taiyuan, China.
 
2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2020) was successfully taken place on October 23-25, 2020 in Chengdu, China.
2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2021) was successfully taken place on December 3-5, 2021, as Virtual Conference.
 
2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2022)  will be held on  October 14-16, 2022. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry.
 
The conference will be held every year to make it an ideal platform for people to share views and experiences in Machine Learning, Big Data and Business Intelligence and related areas. It will bring you an unexpected harvest. We welcome you to be a member of MLBDBI 2022.
 
Topics include but are not limited to the following areas:

1、Machine Learning
Deep and Reinforcement learning
Pattern recognition and classification for networks
Machine learning for network slicing optimization
Machine learning for 5G system
Machine learning for user behavior prediction
New innovative machine learning methods
Optimization of machine learning methods
Performance analysis of machine learning algorithms
Experimental evaluations of machine learning
Data mining in heterogeneous networks
Machine learning for multimedia
Machine learning for Internet of Things
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
 
2、Big Data
Big Data Analytics
Data Science Models and Approaches
Algorithms for Big Data
Big Data Search and Information Retrieval Techniques
Big Data Acquisition, Integration, Cleaning, and Best Practices
Big Data and Deep Learning
Scalable Computing Models, Theories, and Algorithms
In-Memory Systems and Platforms for Big Data Analytics
Big Data and High Performance Computing
Cyber-Infrastructure for Big Data
Performance Evaluation Reports for Big Data Systems
Storage Systems (including file systems, NoSQL, and RDBMS)
Resource Management Approaches for Big Data Systems
Many-Core Computing and Accelerators
Big Data Applications for Internet of Things
Mobile Applications of Big Data
Big Data Applications for Smart City
Data Streaming Applications
Fault Tolerance and Reliability
Scalability of Big Data Systems
Big Data Privacy and Security
Big Data Archival and Preservation
Visual Analytics Algorithms and Foundations
Graph and Context Models for Visualization
Big Data Transformation, and Presentation
 
3、Business Intelligence
Intelligent Computing Methodologies and Applications
Evolutionary Computing and Learning 
Swarm Intelligence and Optimization 
Signal Processing and Pattern Recognition 
Image Processing and Information Security 
Virtual Reality and Human-Computer Interaction 
Business Intelligence and Multimedia Technology 
Healthcare Informatics Theory and Methods 
Natural Language Processing and Computingal Linguistics 
Intelligent Computing in Robotics 
Intelligent Control and Automation 
Intelligent Data Fusion 
Intelligent Agent and Web Applications 
Intelligent Fault Diagnosis 
Intelligent cloud-support communications
Intelligent ressource allocation
Intelligent energy-aware/green communications
Intelligent software defined networks
Intelligent positioning and navigation systems
Intelligent wireless communications
Intelligent wireless sensor networks

征稿主题:
1.机器学习
深入和强化学习
网络的模式识别和分类
用于网络切片优化的机器学习
机器学习5G系统
用于用户行为预测的机器学习
新的创新机器学习方法
机器学习算法的性能分析
机器学习的实验评估
异构网络中的数据挖掘
机器学习多媒体
物联网机器学习
机器学习的安全和保护
分布式和分散式机器学习算法等

2.大数据
大数据分析
数据科学模型和方法
大数据的算法
大数据搜索和信息检索技术
大数据采集,集成,清洁和最佳实践
大数据和深度学习
可扩展的计算模型,理论和算法
用于大数据分析的内存系统和平台
大数据和高性能计算
大数据的网络基础设施
大数据系统的绩效评估报告
大数据系统的资源管理方法
物联网大数据应用
大数据的移动应用
智能城市的大数据应用
大数据系统的可扩展性
大数据隐私和安全等

3.商务智能
智能计算方法和应用
进化计算和学习
群体智能与优化
信号处理和模式识别
图像处理与信息安全
虚拟现实与人机交互
商业智能和多媒体技术
医疗保健信息学理论与方法
自然语言处理与计算语言学
机器人智能计算
智能控制与自动化
智能数据融合
智能代理和Web应用程序
智能云支持通信
智能资源分配
智能能源感知/绿色通信
智能定位和导航系统等

* 其他相关主题亦可
Last updated by Ke Ao in 2022-10-08
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