ICCDA 2022 - 6th International Conference on Compute and Data Analysis (ICCDA 2022)
View: 1033
Website http://iccda.org/ |
Edit Freely
Category Compute and Data Analysis
Deadline: December 31, 2021 | Date: February 18, 2022-February 20, 2022
Venue/Country: Sanya, China
Updated: 2021-12-06 18:16:26 (GMT+9)
Call For Papers - CFP
Full name: 2022 The 6th International Conference on Compute and Data Analysis (ICCDA 2022)--Ei Compendex, ScopusAbbreviation: ICCDA 2022February 18-20, 2022 - Sanya, ChinaMore details, please visit: http://iccda.org/The International Conference on Compute and Data Analysis (ICCDA), is an annual conference hold each year. 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 editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA. ICCDA 2022 conference will be located in Sanya, China during February 18-20, 2022.*ProceedingsAccepted and presented papers will be published into the Conference Proceedings, indexed by Ei compendex, Scopus, etc.*Previous ICCDAPast ICCDA papers were all published in the prestigious ACM proceedings:ICCDA 2021, ISBN: 978-1-4503-8911-2, online: soonICCDA 2020, ISBN: 978-1-4503-7644-0, EI, Scopus indexedICCDA 2019, ISBN: 978-1-4503-6634-2, EI, Scopus indexedICCDA 2018, ISBN: 978-1-4503-6359-4, EI, Scopus indexedICCDA 2017, ISBN: 978-1-4503-5241-3, EI, Scopus indexed*Submission Linkhttp://www.easychair.org/conferences/?conf=iccda2022*TopicsMathematical, probabilistic and statistical models and theoriesMachine learning theories, models and systemsKnowledge discovery theories, models and systemsManifold and metric learningDeep learningScalable analysis and learningNon-iidness learningHeterogeneous data/information integrationData pre-processing, sampling and reductionDimensionality reductionFeature selection, transformation and constructionLarge scale optimizationHigh performance computing for data analyticsArchitecture, management and process for data scienceMore topics: http://iccda.org/cfp.html *ContactMs. Maggie LauTel.: +86 138 8010 4517Email: iccda_info163.comWechat: iconf-cs
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.