ICCDA 2018, The 2nd International Conference on Compute and Data Analysis, will take place in Northern Illinois University (NIU) DeKalb, USA from March 23-25, 2018. ICCDA 2018 is a not-to-be-missed opportunity that distills the most current knowledge on a rapidly advancing discipline in one conference. Join key researchers and established professionals in the field of Compute and Data Analysis as they assess the current state-of-the-art and roadmap crucial areas for future research.
We aim to building an idea-trading platform for the purpose of encouraging researcher participating in this event. The papers to be presented at ICCDA 2018 address many grand challenges in modern engineering. The full papers to be presented will be peer-reviewed by expert reviewers including the whole organising committees members. We will be thankful for the contributions to ICCDA 2018. We look forward to your participation and continued engagement at future ICCDA conferences.
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
03月23日
2018
03月25日
2018
摘要截稿日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2019年03月14日 美国 Hawaii
2019第3届计算与数据分析国际会议
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