Description

Conference Proceedings Accepted Papers (Full Paper) will be published in the International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

Call For Papers

ICCDA 2018

Northern Illinois University (NIU) DeKalb, USA, March 23-25, 2018

ICCDA 2018 papers published by ACM (ISBN 978-1-4503-6359-4)

Online in Xplore:https://dl.acm.org/citation.cfm?id=3193077.

Photos&more information,please refer to http://iccda.org/2018.html

 

ICCDA 2017

Florida Polytechnic University, Lakeland, USA, May 19-23, 2017

Proceedings published by ACM (ISBN:978-1-4503-5241-3) has been online and indexed by EI&Scopus.  

Online in Xplore:https://dl.acm.org/citation.cfm?id=3093241

Photos&more information,please refer to https://www.dropbox.com/sh/sshc9itlz0iid1y/AAAC5EW4G0e9gIReF9BC0uO7a?dl=0.

*Submission

By Email:  iccda_info@163.com

By Easy Chair: http://www.easychair.org/conferences/?conf=iccda2019

 

*Call for Papers:

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

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

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

 

 

*Contact:

Ms. Maggie Lau

Email: iccda_info@163.com

Tel: +86 1301 822222 0

http://iccda.org/