2020 2nd International Conference on Big-data Service and Intelligent Computation (BDSIC 2020) will be held in HuaQiao University, Xiamen during 3-5 December, 2020. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Big-data Service and Intelligent Computation. BDSIC 2019 was successfully held in Wuhan Institute of Technology. Scholars and researchers working in the field of Big-data Service and Intelligent Computation from all over the world are welcome to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Call For Papers

Big Data FoundationsFoundational theoretical or computational models for big dataProgramming models, theories, and algorithms for big dataStandards, protocols, and quality assurance for big data

Big Data Platforms and TechnologiesInnovative, concurrent, and scalable big data platformsData indexing, cleaning, transformation, and curation technologiesBig data processing frameworks and technologiesBig data services and application development methods and toolsBig data quality evaluation and assurance technologiesBig data system reliability and availabilityOpen-source development and technology for big dataBig Data as a Service (BDaaS) platform and technologies

Big Data Analytics and ServicesAlgorithms and systems for big data search, analytics and visualizationArtificial Intelligence for big data and based on big dataVisualization analytics for big dataKnowledge extraction, discovery, analysis, presentation, and visualization

Big Data Applications and ExperiencesInnovative big data applications and services in industries and domains healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks,urban planning, disaster management, securityExperiences and case studies of big data applications and servicesReal-world and large-scale practices of big data

Intelligent Computing Methodologies and Applications

Evolutionary Computing and Learning Genetic Algorithms Swarm Intelligence and Optimization Independent Component Analysis Blind Source Separation Compressed Sensing and Sparse Coding Natural Computing Neural Networks Signal Processing Pattern Recognition Biometrics Recognition Image Processing Information Security Virtual Reality and Human-Computer Interaction Business Intelligence and Multimedia Technology Healthcare Informatics Theory and Methods Unsupervised Learning Reinforcement Learning Machine Learning Natural Language Processing and Computingal Linguistics Intelligent Computing in Robotics Intelligent Computing in Computer Vision