Making data cleaning a declarative, fast process
Event details
| Date | 16.06.2016 |
| Hour | 14:00 › 16:00 |
| Speaker | Styliani Giannakopoulou |
| Location | |
| Category | Conferences - Seminars |
EDIC Candidacy Exam
Exam President: Prof. Willy Zwaenepoel
Thesis Director: Prof. Anastasia Ailamaki
Co-examiner: Prof. Rachid Guerraoui
Background papers:
Data Quality: From Theory to Practice
Potter’s Wheel: An Interactive Data Cleaning System
NADEEF: A Commodity Data Cleaning System
Abstract
Data cleaning is one of the most important problems in data warehouses, since it has become a huge part of data analysis. Data scientists spend most of their time preparing unruly data before it can be used for information extraction. In order to overcome this problem, there is need for tools that can automatically and efficiently clean datasets without requiring much user effort.
Exam President: Prof. Willy Zwaenepoel
Thesis Director: Prof. Anastasia Ailamaki
Co-examiner: Prof. Rachid Guerraoui
Background papers:
Data Quality: From Theory to Practice
Potter’s Wheel: An Interactive Data Cleaning System
NADEEF: A Commodity Data Cleaning System
Abstract
Data cleaning is one of the most important problems in data warehouses, since it has become a huge part of data analysis. Data scientists spend most of their time preparing unruly data before it can be used for information extraction. In order to overcome this problem, there is need for tools that can automatically and efficiently clean datasets without requiring much user effort.
Practical information
- General public
- Free
Contact
- Cecilia Chapuis EDIC