2022 The 6th International Conference on Compute and Data Analysis

The International Conference on Compute and Data Analysis (ICCDA), is an annual conference held each year. It is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of compute and data analysis.

The previous editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA. ICCDA 2022 conference will be located in Shanghai, China (Virtual) during Feb. 25-27, 2022.

We believe the final program will be the result of a highly selective review process designed to include the best work of its kind in every category. You are cordially invited to submit your recent research work to the ICCDA 2022.

* The organizing committee will not ask delegates to provide credit card information for any purpose. The registration will be completed only via conference system. Please be alert.

Conference Proceedings

Full Paper submitted and accepted after successful registration will be published by ACM conference proceedings (ISBN: 978-1-4503-9547-2) , the content will be submitted to the indexing companies for possible indexing, Scopus, Ei compendex, etc.

Past ICCDA papers were published in the prestigious ACM proceedings:

ICCDA21, ISBN: 978-1-4503-8911-2, EI, Scopus Screen shot
ICCDA20, ISBN: 978-1-4503-7644-0, EI, Scopus Screen shot
ICCDA19, ISBN: 978-1-4503-6634-2, EI, Scopus Screen shot
ICCDA18, ISBN: 978-1-4503-6359-4, EI, Scopus Screen shot
ICCDA17, ISBN: 978-1-4503-5241-3, EI, Scopus Screen shot

Co-organized by   Technical Sponsored by

Call for Papers


  • Mathematical, probabilistic and statistical models and theories
  • Machine learning theories, models and systems
  • Knowledge discovery theories, models and systems
  • Manifold and metric learning
  • Deep learning
  • Scalable analysis and learning
  • Heterogeneous data/information integration
  • Data pre-processing, sampling and reduction
  • Dimensionality reduction
  • Feature selection, transformation and construction
  • Large scale optimization
  • High performance computing for data analytics
  • Architecture, management and process for data science
  • Data warehouses, cloud architectures
  • Large-scale databases
  • Information and knowledge retrieval, and semantic search
  • Web/social/databases query and search
  • Personalized search and recommendation
  • Human-machine interaction and interfaces
  • Crowdsourcing and collective intelligence

  • Learning for streaming data
  • Learning for structured and relational data
  • Latent semantics and insight learning
  • Mining multi-source and mixed-source information
  • Mixed-type and structure data analytics
  • Cross-media data analytics
  • Big data visualization, modeling and analytics
  • Multimedia/stream/text/visual analytics
  • Relation, coupling, link and graph mining
  • Personalization analytics and learning
  • Web/online/social/network mining and learning
  • Structure/group/community/network mining
  • Cloud computing and service data analysis


The manuscript in double-column ACM format, up to10 pages. Manuscripts must be written in English and follow the instructions at ACM Word Template for SIG Site.

To ensure the high quality of the accepted papers, all submissions will be peer-reviewed. Please only submit original material where copyright of all parts is owned by the authors declared and which is not currently under review elsewhere.

Online Submission System:http://www.easychair.org/conferences/?conf=iccda2022

The ACM conference proceedings, will be included in the major data base, EI Compendex, Scopus, etc,the proceedings will be distributed during the Conference.

ICCDA 2021, ISBN:978-1-4503-8911-2, online:https://dl.acm.org/doi/proceedings/10.1145/3456529

ICCDA 2020, ISBN:978-1-4503-7644-0, online:http://dl.acm.org/citation.cfm?id=3388142

ICCDA 2019, ISBN:978-1-4503-6634-2, online:http://dl.acm.org/citation.cfm?id=3314545

ICCDA 2018, ISBN:978-1-4503-6359-4, online:https://dl.acm.org/citation.cfm?id=3193077

ICCDA 2017, ISBN:978-1-4503-5241-3,  online: http://dl.acm.org/citation.cfm?id=3093241

Important Dates

  • Paper submission deadline : December 5th, 2021 final call: December 31st, 2021
  • Notification of acceptance: January 15th, 2022
  • Camera ready and Registration deadline: January 25th, 2022
  • Workshop proposals deadline: December 15th, 2021 (See the call for workshop)
  • Conference Dates: February 18 - 20, 2022

Contacts and Visa Application

For all general questions, please contact Ms. Maggie Lau.

Invitation letters will not be provided until registration is completed.


+86 138 8010 4517

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