International Conference ON
Compute and Data Analysis
(ICCDA 2020)

March 13-16, 2020 - Silicon Valley,San Jose, United States

Research Papers submission due on: October 25th
Call for Papers Important Dates

2020 The 4th International Conference on Compute and Data Analysis

The International Conference on Compute and Data Analysis (ICCDA), is an anual conference hold each year in United States. 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 edition of ICCDA was held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb and University of Hawaii Maui College, Kahului .The ICCDA 2020 conference will be located in International Technological University, USA, in Silicon Valley, San Jose.

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 2020.

 

Co-organized by Technical Sponsored by
 
  

Call for Papers

TOPICS INTERESTED BUT NOT LIMITED

  • 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
  • Non-iidness 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

SUBMISSION INSTRUCTIONS

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=iccda2020

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

ICCDA2018,  ISBN:978-1-4503-6359-4, online:https://dl.acm.org/citation.cfm?id=3193077

ICCDA2017,  ISBN:978-1-4503-5241-3,  online: http://dl.acm.org/citation.cfm?id=3093241

Submit your paper

Keynote Speakers

Keynote Speakers of ICCDA 2020 will be announced shortly

Important Dates

  • Paper submission deadline : October 25th, 2019
  • Notification of acceptance: November 25th, 2019
  • Camera ready and Registration deadline: December 15th, 2019
  • Workshop proposals deadline:January 30th, 2020 (See the call for workshop)
  • Conference Date: March 13th - 16th, 2020

Committees

Advisory Chair

  • Shigang Chen, University of Florida, United States

General Chairs

  • May Huang, International Technological University, United States
  • Anu Gokhale, Illinois State University, United States
  • Sen Zhang, State University of New York College at Oneonta, United States

Program Chairs

  • Murali Krishnamurthi, Northern Illinois University,United States
  • Emanuel Grant, University of North Dakota, United States

Workshop Chair

  • Letian Huang, University of Electronic Science and Technology of China, China

Contacts and Visa Application

For all general questions, please contact Ms. Amy Hu iccda_info@163.com.

Invitation letters will not be provided until registration is completed.

iccda_info@163.com