Tracer : a machine learning approach to data lineage
Name
1192561054-MIT.pdf
Size
4.33 MB
Format
Adobe PDF
Checksum (MD5)
5db8449752ad65fe7956742717c236b1
Author(s)
Hofmann, Felipe Alex.
Advisor(s)
Kalyan Veeramachaneni.
Alternative Title
Machine learning approach to data lineage
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
The data lineage problem entails inferring the source of a data item. Unfortunately, most of the existing work in this area relies either on metadata, code analysis or data annotations. In contrast, our primary focus is to present a machine learning solution that uses the data itself to infer the lineage. This thesis will formally define the data lineage problem, specify the underlying assumptions under which we solved it, as well as provide a detailed description of how our system works.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 77-79).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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