ICCDA 2019: The 3rd International Conference on Compute and Data Analysis Hawaii, GA, United States, March 14-17, 2019 |
Conference website | http://iccda.org/ |
Submission link | https://easychair.org/conferences/?conf=iccda2019 |
Submission deadline | January 20, 2019 |
ICCDA 2019 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.
Submission Guidelines
Prospective authors are invited to submit original, high quality manuscripts of up to twelve (12) A4-pages electronically including title, authors' names, authors' affiliations, and references.The submission must conform to the format you can find below.
The submission of a paper implies that the paper is original and has not been submitted and published elsewhere. In addition, at least one full registration is required per accepted paper, and the paper must be presented by an author if accepted.
List of Topics
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
Committees
Advisory Chair
Shigang Chen, University of Florida, United States
Conference Chairs
Anu Gokhale, Illinois State University, USA
Sen Zhang, State University of New York College at Oneonta, United States
Program Chair
Emanuel Grant, University of North Dakota, USA
Local Organizing Chair
Debasis Bhattacharya, University of Hawaii Maui College, USA
Technical Committee
Driss Kettani, Al-Akhawayn University, Morocco
Mehmet Karaata, Kuwait University, Kuwait
Silvia Bravo, Technical University of Cotopaxi, Ecuador
Noraidah Sahari, Universiti Kebangsaan Malaysia, Malaysia
Sule Yildirim Yayilgan, Norwegian University of Science and Technology, Norway
Tian Song, Tokushima University, Japan
Erica Teixeira Gomes de Sousa, Federal Rural University of Pernambuco R. Manuel de Medeiros, Brazil
Eyüp Burak CEYHAN, Bartın University, Turkey
Sandeep Reddivari, University of North Florida, USA
Dean Bushey, Florida Polytechnic University, USA
Feng-Jen Yang, Florida Polytechnic University, USA
Charoenchai Wongwatkit, Mae Fah Luang University, Thailand
Invited Speakers
- Prof. Shigang Chen | IEEE Fellow,University of Florida, United States
- Prof. Anu Gokhale ,Illinois State University, United States
- Prof. Sen Zhang,State University of New York College at Oneonta, United States
Publication
Conference Papers (Full Paper) will be published in the International Conference Proceedings Series byACM with ISBN (978-1-4503-6634-2), which will be online and indexed by Ei Compendex, Scopus.
Contact
Ms. Maggie Lau
Email: iccda_info@163.com
Tel: +86 1301 822222 0
Call online: 10:00-18:00 (Mon.-Fri.)