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Automated data exploration to discover structures and models hidden in the data

Paolo Bethaz

Automated data exploration to discover structures and models hidden in the data.

Rel. Tania Cerquitelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019

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Abstract:

Today there are many data mining algorithms to extract knowledge from data, but their exploration requires the intervention of a domain expert. Innovative solutions are needed to automate the process. In this thesis work a new tool is proposed, that automatically analyzes a dataset, briefly recounting the salient aspects hidden in the data
Relators: Tania Cerquitelli
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 78
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/12397
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