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The 3rd International Conference on Compute and Data Analysis, will take place in University of Hawaii Maui College, USA from March 14-17, 2019.  ICCDA 2019 provides a scientific platform for both local and international scientists, engineers and technologists who work in all aspects of Compute and Data Analysis. In addition to the contributed papers, internationally known experts from several countries are also invited to deliver keynote and invited speeches at ICCDA.    

The papers to be presented at ICCDA 2019 will be peer-reviewed by experts from all over the world. We will be thankful for the contributions to ICCDA series. We look forward to your participation and continued engagement at future ICCDA conferences.


Advisory Chair
Shigang Chen, University of Florida, United States

Conference Chairs
Anu Gokhale, Illinois State University, USA
Sen Zhang, State University of New York College at Oneonta, United States

Program Chair
Emanuel Grant, University of North Dakota, USA

Local Organizing Chair
Debasis Bhattacharya, University of Hawaii Maui College, USA

Technical Committee
Driss Kettani, Al-Akhawayn University, Morocco

Mehmet Karaata, Kuwait University, Kuwait

Silvia Bravo, Technical University of Cotopaxi, Ecuador

Noraidah Sahari, Universiti Kebangsaan Malaysia, Malaysia

Sule Yildirim Yayilgan, Norwegian University of Science and Technology, Norway

Tian Song, Tokushima University, Japan

Erica Teixeira Gomes de Sousa, Federal Rural University of Pernambuco R. Manuel de Medeiros, Brazil

Eyüp Burak CEYHAN, Bartın University, Turkey

Sandeep Reddivari, University of North Florida, USA

Dean Bushey, Florida Polytechnic University, USA

Feng-Jen Yang, Florida Polytechnic University, USA

Charoenchai Wongwatkit, Mae Fah Luang University, Thailand

Paria Assari, Islamic Azad University, Iran

Call for paper

Important date

Draft paper submission deadline
Draft paper acceptance notification

Submission Topics

General areas of interest to ICCDA include but are not limited to:

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 analytics, machine learning and knowledge discovery
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

Storage, retrieval and search
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


Conference Papers (Full Paper) will be published in the International Conference Proceedings Series by ACM with ISBN (978-1-4503-6634-2), which will be online and indexed by Ei Compendex, Scopus.

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Important Date
  • Conference Date

    Mar 14



    Mar 17


  • Nov 10 2018

    Draft paper submission deadline

  • Nov 30 2018

    Draft Paper Acceptance Notification

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