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2021 The 5th 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 2021 conference will be located in Sanya, China during Feb. 2-4, 2021.

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 2021.

COVID-19 Update!!
The health and safety of all participants is our top priority. The organizing committee will focus on current COVID-19 situation and change the conference to virtual one if the environment is not good enough for our participant to share ideas. ​Authors will enjoy online registration fee. All registered full papers will be published as scheduled.

ACM Conference Proceedings

Full Paper submitted and accepted after successful registration will be published in the ACM Conference Proceedings (ISBN: 978-1-4503-8911-2), 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:

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 

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
  • 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=iccda2021

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 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

Submit your paper

2020 Keynote Speakers

Alexander Zipf
Heidelberg University, GIScience Research Group, Germany


Prof. Dr. Alexander Zipf is chair of GIScience (Geoinformatics) at Heidelberg University since 2010. He is member of the Centre for Scientific Computing (IWR) and founding member of the Heidelberg Center for the Environment (HCE).
From 2012-2014 he was Managing Director of the Department of Geography, Heidelberg University. In 2011-2012 he acted as Vice Dean of the Faculty for Chemistry and Geosciences, Heidelberg University. Currently he is busy establishing the Heidelberg Institute for Geoinformation Technology (HeiGIT.org)with it's three main pillars: Smart Mobility, Volunteered Geographic Information for Humanitarian Aid and Big Spatial Data Analytics.

2012 -2018 he was speaker of the graduate school “CrowdAnalyser - Spatio-temporal Analysis of User-generated Content“. He is also member of the editorial board of several journals and organized a set of conferences and workshops. 2012-2015 he was regional editor of the ISI Journal Transactions in GIS (Wiley). Currently he is associated editor of the international journal Geo-spatial Information Science (GSIS) by Taylor & Francis (open access).

Before coming to Heidelberg he led the Chair of Cartography at Bonn University and earlier was Professor for Applied Computer Science and Geoinformatics at the University of Applied Sciences in Mainz, Germany. He has a background in Mathematics and Geography from Heidelberg University and finished his PHD at the European Media Laboratory EML in Heidelberg where he was the first PhD student. There he also conducted further research as a PostDoc for 3 years.

MAIN RESEARCH AREAS INCLUDE
Volunteered Geographic Information (VGI), Crowdsourcing, Citizen Science
Analysis and Processing of Geographic Data
Integrating new methods from Geoinformatics & GIScience in Geography

Anu Gokhale
Illinois State University, USA


Dr. Anu A. Gokhale has completed twenty-five years of university teaching and is currently a professor and coordinator of the computer systems technology program at Illinois State University. She is named Fulbright Distinguished Chair in STEM at the University of Pernambuco, Brazil, 2016-17; was a Faculty Fellow in Israel and Fulbright Specialist in cybersecurity at Gujarat Technological University, India in summer 2017; and a Visiting Professor in College of Business at Shandong University in Jinan, China during spring 2017. Dr. Gokhale was honored with the 2011 University Outstanding Researcher Award. Originally from India, she has a master’s in physics‒electronics from the College of William & Mary, and a doctorate from Iowa State University. She presents and publishes her peer-reviewed research and pursues multi-year projects funded by agencies like the US Department of Education, US Department of State, and National Science Foundation. The current NSF funded project is in Computing Education for the 21st Century. Dr. Gokhale authored a second edition of her book Introduction to Telecommunications, which has an international edition in Chinese. She continues to be an invited keynote speaker at various conferences, latest ones include: 2019 International Conference on Compute and Data Analysis, Maui, USA; 2018 International Conference on Frontiers of Educational Technologies, Moscow, Russia; 2017 International Conference on Knowledge Engineering and Applications, London, UK; 2016 International Conference on Communication and Information Systems, Bangkok, Thailand; 2015 International Conference on Information Technology, Amman, Jordan; 2014 International Conference on Control, Robotics and Cybernetics, Singapore; and 2013 International Conference on Advanced Computer Theory and Engineering in Maldives. She consults for businesses and has delivered multiple workshops. As an active volunteer in IEEE, she has served as R4 Educational Activities Chair, Women in Engineering Coordinator, Chair of International Electro/Information Technology 2010 Conference, and MGA representative to the Educational Activities Board. She was honored with the IEEE Third Millennium Medal.

Important Dates

  • Paper submission deadline : August 20th, 2020
  • Notification of acceptance: September 10th, 2020
  • Camera ready and Registration deadline: September 30th, 2020
  • Workshop proposals deadline: December 20th, 2020 (See the call for workshop)
  • Conference Date: February 2 - 4, 2021

Committees

General Chairs

  • Jingchang Pan, Shandong University, China
  • Jifu Zhang, Taiyuan University of Science and Technology, China
  • Anu Gokhale, Illinois State University, United States

Program Chairs

  • Hayato Ohwada, Tokyo University of Science, Japan
  • Jianghui Cai, Taiyuan University of Science and Technology, China
  • Emanuel Grant, University of North Dakota, United States
  • Carlos Becker Westphall, University of Santa Catarina, Brazil

Program Co-Chairs

  • Yucong Duan, Hainan University, China
  • Ali Luo, The National Astronomical Observatories of the Chinese Academy of Sciences, China
  • Haifeng Yang, Taiyuan University of Science and Technology, China

Workshop Chair

  • Junli Li, Jinzhong University, China

Poster Chair

  • Yaling Xun, Taiyuan University of Science and Technology, China

Contacts and Visa Application

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

Invitation letters will not be provided until registration is completed.

iccda_info@163.com

+86 138 8010 4517

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