CIBDA 2020 is to bring together innovative academics and industrial experts in the field of computer information and big data applications to a common forum. The primary goal of the conference is to promote research and developmental activities in computer information and big data applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.
The topics of interest for submission include, but are not limited to:
| 1. Computer Technology | 1.计算机技术 |
artificial intelligence Machine learning Automation Software Engineering Virtual reality and human-computer interaction Bioinformatics and Scientific Computing Computer Aided Design Computer animation Computer modeling computer network Computer security Computer simulation Intelligent computing methods and applications Signal processing and pattern recognition Image processing and information security Data compression / encryption / mining Digital Signal and Image Processing Internet and web applications Mobile computing Cyber security and cryptography Multimedia application Multimedia network Mobile wireless network Programming language Wireless communication wireless sensor network | 人工智能 机器学习 自动化软件工程 虚拟现实与人机交互 生物信息学与科学计算 计算机辅助设计 电脑动画 计算机建模 计算机网络 计算机安全 计算机模拟 智能计算方法和应用 信号处理和模式识别 图像处理与信息安全 数据压缩/加密/挖掘 数字信号与图像处理 互联网和Web应用程序 移动计算 网络安全和密码学 多媒体应用 多媒体网络 移动无线网络 编程语言 无线通信 无线传感器网络 |
| 2. Information Science | 2.信息科学 |
Information system planning and management System analysis and design method Distributed information system Business and management software Accounting and financial information system Internet technology Information quality and strategy Decision Support Systems E-commerce Information Technology Management Knowledge management Enterprise Information System Public policy management Software Engineering and Software Development Open source software IT and IS security information and communication technology(ICT)Software agents and smart agent | 信息系统规划与管理 系统分析与设计方法 分布式信息系统 商业和管理软件 会计和财务信息系统 互联网技术 信息质量和策略 决策支持系统 电子商务 信息技术管理 知识管理 企业信息系统 公共政策管理 软件工程与软件开发 开源软件 IT和IS安全 信息通讯技术 软件代理和智能代理 |
| 3. Big Data | 3.大数据 |
data analysis Data science models and methods Algorithms for big data Big data search and information retrieval technology Big data collection, integration, cleaning and best practices Big data and deep learning Scalable computing models, theory and algorithms Memory systems and platforms for big data analysis Big data and high-performance computing Big data network infrastructure Performance evaluation report of big data system Storage system (including file system, NoSQL and RDBMS) Resource management method for big data system Multi-core computing and accelerator Big data applications for the Internet of Things Big data mobile applications Big data applications in smart cities Data flow application Fault tolerance and reliability Scalability of big data systems Big data privacy and security Big data archiving and preservation Visual analysis algorithms and basics Visual graphics and context models Big data transformation and performance | 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 存储系统（包括文件系统，NoSQL和RDBMS） 大数据系统的资源管理方法 多核计算和加速器 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 数据流应用程序 容错性和可靠性 大数据系统的可扩展性 大数据隐私和安全 大数据存档和保存 可视化分析算法和基础 可视化的图形和上下文模型 大数据转换和演 |
| 4. Other Related Topics | 4.其他相关主题 |
