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Styliani Asimina Giannakopoulou

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Related publications (4)

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Holistic, Efficient, and Real-time Cleaning of Heterogeneous Data

Styliani Asimina Giannakopoulou

Data cleaning has become an indispensable part of data analysis due to the increasing amount of dirty data. Data scientists spend most of their time preparing dirty data before it can be used for data analysis. Existing solutions that attempt to automate t ...

EPFL2021

Query-driven Repair of Functional Dependency Violations

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

IEEE COMPUTER SOC2020

CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning

Benjamin Cyrille Damien Gaidioz, Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Assoc Computing Machinery2017

Cleaning Denial Constraint Violations through Relaxation

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

ASSOC COMPUTING MACHINERY2020