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/