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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio Istituziona...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Archivio Istituzionale della Ricerca (AperTO) - Università di Torino
Part of book or chapter of book . 2017
Full-Text: https://iris.unito.it/request-item?handle=2318/2025100&bitstreamId=42aac7b2-6fc1-4b11-be6a-009218272aaf
Data sources: Archivio Istituzionale della Ricerca (AperTO) - Università di Torino
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Data Integration

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 Jan 2017 Italy English Publisher:John Wiley & Sons
Authors: Dalla Valle L;

handle: 2318/2025100

Data Integration

Abstract

This article introduces some of the most popular techniques of data integration that allow the combination of information coming from various sources. The illustration focuses, in particular, on the Bayesian generalized Heckman methodology and the data calibration methodology based on vines and nonparametric Bayesian networks.

Country
Italy
Related Organizations
Keywords

Bayesian networks; copula; information quality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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