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SUMMARY:Making data cleaning a declarative\, fast process
DTSTART:20160616T140000
DTEND:20160616T160000
DTSTAMP:20260412T173813Z
UID:6434c71afd55c2fb6d439fd3c78ca5f949eb367a695aabe41f187fcb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Styliani Giannakopoulou\nEDIC Candidacy Exam\nExam President: 
 Prof. Willy Zwaenepoel\nThesis Director: Prof. Anastasia Ailamaki\nCo-exam
 iner: Prof. Rachid Guerraoui\nBackground papers:Data Quality: From Theory 
 to PracticePotter’s Wheel: An Interactive Data Cleaning SystemNADEEF: A 
 Commodity Data Cleaning SystemAbstract\nData cleaning is one of the most i
 mportant problems in data warehouses\, since it has become a huge part of 
 data analysis. Data scientists spend most of their time preparing unruly d
 ata before it can be used for information extraction. In order to overcome
  this problem\, there is need for tools that can automatically and efficie
 ntly clean datasets without requiring much user effort.
LOCATION:BC 129 https://plan.epfl.ch/?room==BC%20129
STATUS:CONFIRMED
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