Data fusion of relational databases

Matic Bernik (2018) Data fusion of relational databases. EngD thesis.

Preview

Abstract

Data analysis and discovery of relations between connected entity types within databases can be very labour and time intensive. The reason being that every database has its specific structure, which needs to be examined. In this thesis, we evaluated if the reconstruction error of the matrix factorization model can be used to relate tables or entity types within a database. To test this concept, we developed a Python module that connects to a database and returns a ranked list of relations (pairs of entity types). This enables the user to identify the most informative relations and explore them further.

Item Type:

Thesis (EngD thesis)

Keywords:

data fusion, database, relation ranking, exploratory analysis

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Tomaž Curk	299	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537951683)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4242

Date Deposited:

18 Sep 2018 17:25

Last Modified:

04 Oct 2018 11:35

URI:

http://eprints.fri.uni-lj.si/id/eprint/4242

Actions (login required)

View Item