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ACM--ICCDA--Ei, Scopus 2020 : ACM--2020 The 4th International Conference on Compute and Data Analysis (ICCDA 2020)--Ei Compendex, Scopus | |||||||||||
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ACM--2020 The 4th International Conference on Compute and Data Analysis (ICCDA 2020)--Ei Compendex, Scopus
International Technological University, USA, in Silicon Valley, San Jose. March 9-12, 2020. The International Conference on Compute and Data Analysis (ICCDA), is an anual conference hold each year in United States. It is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of compute and data analysis. The previous edition of ICCDA was held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb and University of Hawaii Maui College, Kahului .The ICCDA 2020 conference will be located in International Technological University, USA, in Silicon Valley, San Jose. We will be thankful for the contributions to ICCDA series. We look forward to your participation and continued engagement at future ICCDA conferences. *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). *Conference History ICCDA 2019 University of Hawaii Maui College, Kahului,USA, March 14-17, 2019. ICCDA 2019 papers published by ACM (ISBN:978-1-4503-6634-2) Online in Xplore: http://dl.acm.org/citation.cfm?id=3314545 Photos&more information,please refer to http://iccda.org/2019.html ICCDA 2018 Northern Illinois University (NIU) DeKalb, USA, March 23-25, 2018 ICCDA 2018 papers published by ACM (ISBN 978-1-4503-6359-4) has been online and indexed by EI&Scopus. 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 http://iccda.org/2017.html *Submission By Email: iccda_info@163.com By Easy Chair : http://www.easychair.org/conferences/?conf=iccda2020 *Venue: International Technological University, USA Silicon Valley, San Jose Address:2711 N 1st St, San Jose, CA 95134 website:https://www.itu.edu *Call for Papers: Topics are interested but 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/ |
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