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Intensional Answers for Provenance Queries in Big Data Analytics
| Content Provider | Semantic Scholar |
|---|---|
| Author | Svacina, Jan |
| Copyright Year | 2016 |
| Abstract | Provenance Management in the field of Big Data Analytics makes use of extensional answers. This makes it difficult for a user to understand answers consisting of large amounts of data. This thesis proposes a method, that generates intensional answers from provenance queries. The established field of provenance management is expanded with the concept of intensional answers to allow the user to retrace his results. We propose a three layered algorithm to retrace a provenance answer and show it in its intensional form. The user will be capable of exploring the dataset, rather than just asking the questions. The modular structure of the proposed method allows to expand it with different provenance algorithms and data minig techniques. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.dbis.informatik.uni-rostock.de/806/1/Bachelorarbeit-Jan-Svacina-final-20160229.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |