Reconciling Data Analytics, Automation, Privacy, and Security RDAAPS on May 17-19, 2021 in Hamilton, Canada
- Short Name: RDAAPS
- Event Type: Conference
- Presentation: Digital
- Website URL: http://rdaaps.com/conferences/rdaaps21/
- Program URL: http://rdaaps.com/conferences/rdaaps21/
- Contact URL: http://rdaaps.com/conferences/rdaaps21/
- Contact E-mail: [email protected]
- Location: Hamilton, Canada
- Venue: McMaster University
- Date: May 17-19, 2021
- Final Submission: March 15, 2021
- Notification: February 22, 2021
- Organization: RDAAPS 2021: Reconciling Data Analytics, Automation, Privacy, and Security
- Conference Tags: automation metadata data security automation technologies data mining data management design automation information security automation engineering industrial automation data analysis data integration big data data collection privacy data analytics data warehousing data visualization atomic data intelligent automation test automation survey data data engineering robotic process automation data networks data science big data analysis data processing mobile data
RDAAPS is the first annual international conference on research in the broadly defined area of data analytics. It brings together researchers from academia, industry, and the public sector to present and discuss various aspects of data analytics, including privacy, security, and automation. This venue is meant to bring together stakeholders whose interests lie at the interface of these concerns, providing a platform for integrating the needs of industry with state-of-the-art scientific advancements, and inspiring original research on solving enterprise data challenges. RDAAPS seeks papers presenting original research in the areas including, but not limited to:
* Big Data Analytics for Decision Making
* Accountable Data Analytics
* Strings in Data Analytics
* Security in Data Analysis
* Domain knowledge modelling and generation
* Automation for data analytics, security, and privacy in manufacturing
* Challenges of automation of data analytic processes
* Big Data Analytics for Decision Making
* Accountable Data Analytics
* Strings in Data Analytics
* Security in Data Analysis
* Domain knowledge modelling and generation
* Automation for data analytics, security, and privacy in manufacturing
* Challenges of automation of data analytic processes
Name: RDAAPS 2021: Reconciling Data Analytics, Automation, Privacy, and Security
Website: http://rdaaps.com/conferences/rdaaps21/
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