Both structured and unstructured data are exponentially produced in massive amounts, with increasing volume, velocity, variety, and value. Big data are harvested for building intelligent systems for supporting a broad array of applications from biomedicine, healthcare, education to smartcity and autopilot. Data quality could signifcantly impact the performance of the intelligent system that is built on it. This special track will explore methodologies, tools and frameworks that have been or need to be developed to evaluate data quality and enhance data for building high quality intelligent systems.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at https://qrs22.techconf.org/submission.
The length of a camera ready paper will be limited to eight pages. Each paper should include a title, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.
All the papers accepted by the workshop will be invited to submit an extended version to the special issue “Data Quality for Big Data and Machine Learning” on Frontiers in Big Data (SCIE journal). For more information, please visit the special issue website: https://www.frontiersin.org/research-topics/35131/data-quality-for-big-data-and-machine-learning
All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2022 co-located workshops. At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the workshop. Arrangements are being made to publish selected accepted papers in reputable journals. Submissions must be in PDF format and uploaded to the conference submission site.Submission
|Srividya Bansal||Arizona State University|
|Nic Herndon||East Carolina University|
|Wei Lu||Wuhan University|
|Kemafor Ogan||North Carolina State University|
|Baekkwan Park||East Carolina University|
|Xinning Su||Nanjing University|
|Mingwei Tang||Nanjing Audit University|
|Haiyan Wang||Kansas State University|
|Chengzhi Zhang||Nanjing University of Science and Technology|
|Xiaojuan Zhang||Southwest University|
|Ismini Lourentzou||Virginia Tech|
|Lu Cheng||Arizona State University|
|Jiangen He||University of Tennessee|