Publication:
Full Paper submitted and accepted after successful registration will be published by ICCDA Conference Proceedings.
Topics:
(Topics of interest for submission include, but are not limited to:)
Topic 1: Foundations
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
Topic 2: 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
Topic 3: 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
More Details please click: https://www.iccda.org/cfp.html
Submission Instructions:
1. Language: All submissions should be written in English.
2. Submission Types: Abstract submission for presentation only without publication; Full paper submission for both presentation and publication.
3. Paper Length: The manuscript in one column paper format, up to 10 pages (Manuscript within 6 pages will be covered by regular registration fee. For those more than 6 pages, additional 60 USD per page will be charged.).
4. Submission Method:
By online: https://confsys.iconf.org/submission/iccda2026
By email: send your paper to iccda_Conf@yeah.net.
Conference Program:
December 18, 2026 | 10:00 - 17:00 | Registration & Materials Collection
December 19, 2026 | 09:30 - 09:35 | Opening Remark
December 19, 2026 | 09:35 - 12:30 | Keynote & Invited Speeches
December 19, 2026 | 12:30 - 14:00 | Lunch
December 19, 2026 | 14:00 - 19:45 | Oral Presentation Sessions
December 20, 2026 | 10:00 - 18:00 | Invited Speeches & Oral Presentation Sessions
Contact Us:
Conference secretary: Ms. Tessa Chen
Email: iccda_Conf@yeah.net
Full Paper submitted and accepted after successful registration will be published by ICCDA Conference Proceedings.
Topics:
(Topics of interest for submission include, but are not limited to:)
Topic 1: Foundations
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
Topic 2: 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
Topic 3: 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
More Details please click: https://www.iccda.org/cfp.html
Submission Instructions:
1. Language: All submissions should be written in English.
2. Submission Types: Abstract submission for presentation only without publication; Full paper submission for both presentation and publication.
3. Paper Length: The manuscript in one column paper format, up to 10 pages (Manuscript within 6 pages will be covered by regular registration fee. For those more than 6 pages, additional 60 USD per page will be charged.).
4. Submission Method:
By online: https://confsys.iconf.org/submission/iccda2026
By email: send your paper to iccda_Conf@yeah.net.
Conference Program:
December 18, 2026 | 10:00 - 17:00 | Registration & Materials Collection
December 19, 2026 | 09:30 - 09:35 | Opening Remark
December 19, 2026 | 09:35 - 12:30 | Keynote & Invited Speeches
December 19, 2026 | 12:30 - 14:00 | Lunch
December 19, 2026 | 14:00 - 19:45 | Oral Presentation Sessions
December 20, 2026 | 10:00 - 18:00 | Invited Speeches & Oral Presentation Sessions
Contact Us:
Conference secretary: Ms. Tessa Chen
Email: iccda_Conf@yeah.net
