活动简介
The Reconciling Data Analytics, Automation, Privacy, and Security (RDAAPS) conference serves as a premier forum for advancing the state of the art in the intersection of the areas of Big Data Analytics for Decision Making, Accountable Data Analytics, Strings in Data Analytics, Security in Data Analysis, Domain knowledge modeling and generation, Automation for data analytics, security, and privacy in manufacturing, and Challenges of automation of data analytics processes. RDAAPS brings together international experts from academia, industry, and government to present and discuss novel research in these areas.
Sponsor Type:3; 9
组委会
General Chairs
M. Jamal Deen, McMaster University
Ridha Khedri, McMaster University
Steering Committee
Mike Grainge, Adlib Software, Vice President Product Engineering
Ridha Khedri, McMaster University
Wendy MacCaull, St. Francis Xavier University
Neerja Mhaskar, McMaster University
Organizing Committee
Hassan Ashtiani, McMaster University, Publication Co-Chair
Mike Grainge, Adlib Software, Industrial Liaison
Wenbo He, McMaster University, Publication Co-Chair
Ridha Khedri, McMaster University, Local Organizer
Andrew LeClair, McMaster University, Publicist
Alicia Marinache, McMaster University, Treasurer
Neerja Mhaskar, McMaster University, Local Organizer
Program Committee Chairs
Arash Habibi Lashkari, University of New Brunswick
Ridha Khedri, McMaster University
Neerja Mhaskar, McMaster University
Program Committee (Currently Confirmed)
Ken Barker, University of Calgary
Solon Pissis, Centrum Wiskunde & Informatica (CWI)
Wing-Kin Sung, National University of Singapore
Andrew Malton, Blackberry
Danfeng Yan, Beijing University of Posts and Telecommunications
Wendy MacCaull, St. Francis Xavier University
Kamel Adi, Université du Québec en Outaouais
Jian Li, Futurewei Technologies
Maxime Crochemore, King's College London and Université Paris-Est
Jason Jaskolka, Carleton University
Claude Baron, LAAS-CNRS, INSA
Fazle Rabbi, University of Bergen
Yan Liu, Concordia University
William F. Smyth, McMaster University
Costas Illiopoulos, King's College London
Noman Mohammed, University of Manitoba
Laurence T. Yang, St. Francis Xavier University
Hideo Bannai, M&D Data Science Center, Tokyo Medical and Dental University, Japan
Don Adjeroh, West Virginia University
Shunsuke Inenaga, Kyushu University
Nadia Pisanti, Universita di Pisa
Fei Chiang, McMaster University
Wenbo He, McMaster University
Hassan Ashtiani, McMaster University
Jamal Deen, McMaster Univeristy
Mourad Debbabi, Concordia University
Giovanni Livraga, University of Milan
Michael Soltys, California State University Channel Islands
Haya Ghalayini, Sheridan College
Matt Broda, Amazon
Latifa Ben Arfa Rabai, University of Buraimi
Guangquan Xu, Tianjin University
Yihai Chen, Shanghai University
Ahmed Mehaoua, Université Paris Descartes
Fred Popowich, Simon Fraser University
Mohammad Tayebi, Simon Fraser University
Chao Tong, Beihang University
征稿信息
重要日期
征稿范围
Big Data Analytics for Decision Making
New models and algorithms for data analytics
Scalable data analytics
Optimization methods in data analytics
Theoretical analysis of data systems
Analytical reasoning systems
Decision making under uncertainty
Learning systems for data analytics
Large-scale text, speech, image, or graph processing systems
Accountable Data Analytics
Privacy-aware data analytics
Fairness in data analytics
Interpretable and transparent data analytics
Incorporating legal and ethical factors into data analytics
Strings in Data Analytics
Patterns in Big Data
Data compression
Bioinformatics
Algorithms and data structures for string processing
Useful data structures for Big Data
Data structures on secondary storage
Security in Data Analysis
Traceability of decision making
Models for forecasting cyber-attacks and measuring impact
Data usage in mounting security threats
Data analytics for better situational awareness
Domain knowledge modeling and generation
Novel ontology representations
Scalability of domain-based reasoning on big data
Modeling and analyzing unstructured data sets
Automation for data analytics, security, and privacy in manufacturing
Application of data analysis in manufacturing
Big data in Industry 4.0
Privacy and security in manufacturing
Challenges of automation of data analytic processes
Case studies of the automation of data analytics processes
Architecture for data analytics and security
Built-in privacy and security in data analytics automation
作者指南
Successful papers will address real research challenges through analysis, design, measurement, and deployment of data systems. The program committee will evaluate each paper using metrics that are appropriate for the topic area. All submissions must describe original ideas, not published or currently under review for another conference or journal.
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重要日期
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会议日期
05月19日
2021
至05月21日
2021
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01月11日 2021
初稿截稿日期
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05月21日 2021
注册截止日期
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