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Prof. Dr. M. Jarke
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RWTH Aachen
Informatik 5
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Towards Automating Graph Data Cleansing Using Shapes

Thesis type
  • Bachelor
Status Running
Proposal on 05. Jul 2019 00:00
Proposal room Seminarraum I5
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Data curation is a labour intensive process transforming often completely unstructured data into structured data. This work proposes an approach to improve the quality of semi structured data efficiently and resolve conflicts with minimal effort. This is achieved by inferring a data model or improving a given one, by finding inconsistencies within the data, and by suggesting possible data edits using different machine learning and data mining techniques. Effort is further reduced by detecting conflicts that were caused by other conflicts using root cause analysis.

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