data mining & big datacomputing

*IEEE ICCCBDA 2021 - Cloud & Big Data / Scopus Index & EI-Compendex

2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2021)
Website：http://www.icccbd.com/
Time：24-26 April 2021
Place: Chengdu, China

Welcome from the entire organizing team, and we look forward to seeing you soon again in Chengdu.
2021 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), held in Chengdu, China, between 24-26 April 2021.

Several current and upcoming frontier technologies, innovative solutions, research results, as well as enterprises related to cloud computing and big data analytics and their applications will be presented.
ICCCBDA has been held since 2016, sponsored by IEEE, and organized by Sichuan Institute of Electronics and Xihua University, co-organized by Southwest Jiaotong University and Sichuan University, China; technically supported by Key Lab of Cloud Computing & Intelligent Technology, Sichuan Province, and Chongqing University of Posts and Telecommunications, ect...

Chengdu, the capital of China's southwest Sichuan Province, is famed for being the home of cute giant pandas. Located in the west of Sichuan Basin and in the center of Chengdu Plain. You can find lots of tasty food, lovely panda, and kind people here. Welcome to participate ICCCBDA 2021 and plan your trip to Chengdu now.

Keynote Speakers:
● Zhu Han, Professor, AAAS Fellow, IEEE Fellow
University of Houston, USA
● Ching-Yung Lin, Professor
IEEE Fellow, IBM Chief Scientist, Graph Computing, IBM Distinguished Researcher
Columbia University, USA

*ICCCBDA 2021 starts Call for paper process:
Topic about Cloud Computing and Big Data Analytics
Cloud and grid computing for big data
Cloud Application Architectures
Cloud Application Scalability and Availability
Cloud Applications Performance and Monitoring
Cloud computing and semantic web technologies
Cloud Computing Architecture and Systems
Cloud Computing Models, Simulations, Designs, and Paradigms
Cloud Computing Technologies, Services and Applications
Cloud Economics
Cloud for Enterprise Business Transformation
Cloud Management and Operations
Cloud Middleware Frameworks
Cloud Optimization and Automation
Cloud Quality and Performance
Cloud Resource Virtualization and Composition
Cloud Solution Design Patterns
Distributed, and Peer-to-peer Search
Infrastructure and platform for smart computing
Models and tools for smart computing

Algorithms and Programming Techniques for Big Data Analysis Processing
Algorithms and Programming Techniques for Big Data Processing
Algorithms and Systems for Big Data Analysis Search
Algorithms and Systems for Big Data Search
Big Data Analysis Analytics and Metrics
Big Data Analysis Architectures
Big Data Analysis Economics
Big Data Analysis Encryption
Big Data Analysis for Business Model Innovation
Big Data Analysis for Enterprise, Government and Society
Big Data Analysis in Mobile and Pervasive Computing
Big Data Analysis Management
Big Data Analysis Search and Mining
Big data analytics and social media
Big data applications: Bioinformatics
Big Data as a Service
Big Data Encryption
Big Data for Business Model Innovation
Big Data for Enterprise Transformation
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Big Data in Business Performance Management
Big Data in Enterprise Management Models and Practices
Big Data in Government Management Models and Practices
Big Data in Smart Planet Solutions
Big Data Open Platforms
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Toolkits
Collaborative Threat Detection using Big Data Analysis Analytics
Collaborative Threat Detection using Big Data Analytics
Data mining, graph mining and data science
Experiences with Big Data Project Deployments
Foundational Models for Big Data
Hardware/software infrastructure for big data
Intelligent Data Processing
Machine learning and AI for big data
Management Issues of Social Network Big Data
Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Real-life Case Studies of Value Creation through Big Data Analytics
Representation Formats for Multimedia Big Data
Scientific Applications of Big Data
Security and privacy for big data
SME-centric Big Data Analytics
Techniques, models and algorithms for big data
Tools and systems for big data
Visualization Analytics for Big Data

For details about topics, please visit at http://www.icccbd.com/cfp.html

*Publication:
Submitted paper will be peer reviewed by conference committees, and accepted papers will be included in ICCCBDA 2021 Conference Proceedings, which will be archived in IEEE Xplore , and indexed by EI Compendex, Scopus, and other indexing services.
ICCCBDA 2021 is listed in IEEE Official Conference Calendar: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/51879

ICCCBDA 2020 - ISBN: 978-1-7281-6023-8 | Ei-Compendex & Scopus within 2 months after the conference.
ICCCBDA 2019 - ISBN: 978-1-7281-1409-5 | Ei-Compendex & Scopus within 3 months after the conference.
ICCCBDA 2018 - ISBN: 978-1-5386-4300-6 | Ei-Compendex & Scopus within 3 months after the conference.
ICCCBDA 2017 - ISBN: 978-1-5090-4497-9 | Ei-Compendex & Scopus within 4 months after the conference.
ICCCBDA 2016 - ISBN: 978-1-5090-2593-0 | Ei-Compendex & Scopus within 3 months after the conference.

*Submission:
1. Full paper(publication and presentation)
2. Abstract (presentation)

Submit paper via online system: http://www.easychair.org/conferences/?conf=icccbda2021
More detail about submission, http://www.icccbd.com/sub.html

*Contact:
Gretchen Liu (Conference Secretary)
E-mail: icccbda@young.ac.cn
Tel: +86-28-86527868
Mobile: +86-182-1565-4293