International Conference on Computing and Data Analysis ICCDA on December 18-20, 2026 in Phuket, Thailand - Conference Index

International Conference on Computing and Data Analysis ICCDA on December 18-20, 2026 in Phuket, Thailand

International Conference on Computing and Data Analysis (ICCDA) December 18, 2026 - Phuket, Thailand

Publication:

Full Paper submitted and accepted after successful registration will be published by ICCDA Conference Proceedings.


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 [email protected].


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: [email protected]


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

Name: International Association of Computer Science and Information Technology
Website: http://www.iacsit.org/

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