| Grant number: | 18/20360-5 |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| Start date: | January 01, 2019 |
| End date: | December 31, 2019 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Caetano Traina Junior |
| Grantee: | Paulo Henrique de Oliveira |
| Supervisor: | Ihab Ilyas |
| Host Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Institution abroad: | University of Waterloo, Canada |
| Associated to the scholarship: | 15/15392-7 - Indexing Attribute Domains in Relational DBMS, BP.DR |
Abstract When dealing with real-world data, erroneous data are the norm rather than the exception. To increase the value of data in analytics and decision-making, data scientists focus intensively on data cleaning tasks. Over the years, individual problems have been addressed separately, such as missing value imputation, outlier detection, and deduplication. Recently, a novel approach has been adopted by the scientific community, whose goal is to leverage all signals and resources (such as constraints, available statistics, and dictionaries) to accurately predict corrective actions: the idea is to take into account the "holistic" nature of the data cleaning process. Driven by the scalability challenges introduced by such approach, this project aims at developing techniques to improve scalability in the data cleaning process. The internship will be hosted at the University of Waterloo and supervised by Prof. Ihab Francis Ilyas. | |
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