==Index== Ei Compendex, Scopus ¤ICBDSC 2022¤ ¤Full Name: 2022 The 5th International Conference on Big Data and Smart Computing (ICBDSC 2022)--EI Compendex, Scopus *Date: January 21-23, 2022 *Location: Yokohama, Japan *Website: http://www.icbdsc.org/ ★Sponsor: Ambient Intelligence Research Center of Keio university and Institute of mobility culture research center of Keio university as well as Cross-ministerial Strategic Innovation Promotion Program(SIP) ★Proceedings: Submitted papers will be Peer-Reviewed (Double Blind) and the accepted ones will be collected in the conference proceedings submit to be indexed in Ei Compendex, Scopus, IET etc. major databases. ★History: ICBDSC 2021 - Yokohama, Japan(online) | January 16-18, 2021 ICBDSC 2020 - Sydney, Australia | January 12-15, 2020 ICBDSC 2020 papers already indexed by Ei Compendex and Scopus ICBDSC 2019 - Bali, Indonesia | January 10-13, 2019 ICBDSC 2019 papers already indexed by Ei Compendex and Scopus ICBDSC 2018 - Casablanca, Morocco | January 4-6, 2018 ICBDSC 2018 papers already indexed by Ei Compendex and Scopus ★Topic: 1. Big Data Infrastructure *Cloud/Grid/Stream Computing for Big Data *High Performance/Parallel Computing Platforms for Big Data *Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment *Energy-efficient Computing for Big Data *Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data *Software Techniques and Architectures in Cloud/Grid/Stream Computing *Big Data Open Platforms *New Programming Models for Big Data beyond *Hadoop/MapReduce, STORM *Software Systems to Support Big Data Computing 2. Big Data Management *Advanced database and Web Applications *Novel Data Model and Databases for Emerging Hardware *Data Preservation *Data Provenance *Interfaces to Database Systems and Analytics Software Systems *Data Protection, Integrity and Privacy Standards and Policies *Information Integration and Heterogeneous and Multi-structured Data Integration *Data management for Mobile and Pervasive Computing *Data Management in the Social Web *Crowdsourcing *Spatiotemporal and Stream Data Management *Scientific Data Management *Workflow Optimization *Database Management Challenges: Architecture, Storage, User Interfaces 3. Big Data Search and Mining *Social Web Search and Mining *Web Search *Algorithms and Systems for Big Data Search *Distributed, and Peer-to-peer Search *Big Data Search Architectures, Scalability and Efficiency *Data Acquisition, Integration, Cleaning, and Best Practices *Visualization Analytics for Big Data *Computational Modeling and Data Integration *Large-scale Recommendation Systems and Social Media Systems *Cloud/Grid/Stream Data Mining- Big Velocity Data *Link and Graph Mining *Semantic-based Data Mining and Data Pre-processing *Mobility and Big Data *Multimedia and Multi-structured Data- Big Variety Data 4. Big Data Security & Privacy *Intrusion Detection for Gigabit Networks *Anomaly and APT Detection in Very Large Scale Systems *High Performance Cryptography *Visualizing Large Scale Security Data *Threat Detection using Big Data Analytics *Privacy Threats of Big Data *Privacy Preserving Big Data Collection/Analytics *HCI Challenges for Big Data Security & Privacy *User Studies for any of the above *Sociological Aspects of Big Data Privacy 5. Big Data Applications *Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, *Finance, Business, Law, Education, Transportation, Retailing, Telecommunication *Big Data Analytics in Small Business Enterprises (SMEs), *Big Data Analytics in Government, Public Sector and Society in General *Real-life Case Studies of Value Creation through Big Data Analytics *Big Data as a Service *Big Data Industry Standards *Experiences with Big Data Project Deployments 6. Big Data Foundations *Novel Theoretical Models for Big Data *New Computational Models for Big Data *Data and Information Quality for Big Data *New Data Standards 7. Real-Time Big Data Analytics *Techniques and Algorithms for Real-Time Big Data Analytics *Applications and Evaluation of Real-Time Big Data Systems 8. Big Data / Smart Cities *Big Data for Improving Resilient Infrastructures *Big Data Applications such as Healthcare and Transportation 9. Smart computing concepts, models and algorithms *Future Smart Computing Paradigms *Models of Smart Environments *Algorithms for Smart Computing 10. Smart Computing Systems *Security, Privacy, and Economics in Smart Environments *Cyber-physical System Platforms for Smart Environments *Middleware Platforms for Smart Environments *Mobile and Ubiquitous Platforms for Smart Environments 11. Smart Computing Applications *Smart Precision Agriculture *Smart Transportation *Smart FinTech *Smart Food-Energy-Water Nexus *Smart Health *Smart Communities *Smart Human Environments, Entertainment, and Social Activities *Smart Energy Management and Analytics For more topics, please visit our website: www.icbdsc.org ★Committee (ICBDSC) Conference Chairs: Yonghui Li, IEEE Fellow, University of Sydney, Australia Hiroaki Nishi, Keio University, Japan Program Chairs: T.Ohtsuki, Keio University, Japan (IEEE Senior Member and IEICE Fellow) Suhuai Luo, University of Newcastle Australia, Australia Program Co-chairs: Xiangjian (Sean) He, University of Technology Sydney (UTS), Australia(IEEE Senior Member) Ke Qin, University of Science and Technology of China, China For more committee members, please visit the website: www.icbdsc.org ★Contact Us: Name：Nana Liu Email: icbdsc@vip.163.com Tel: +86-132-9869-9999 Website：www.icbdsc.org ==Index== Ei Compendex, Scopus