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2016 | OriginalPaper | Buchkapitel

9. Recent Advances in Object Identification

verfasst von : Carlo Batini, Monica Scannapieco

Erschienen in: Data and Information Quality

Verlag: Springer International Publishing

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Abstract

Research on object identification has been producing several significant results in the last years, in different areas of computer science. As observed in [140], it is well known that in data mining projects, a large proportion of effort (20–30 % reported in [566]) is spent for understanding data and 50–70 % for data preparation. Governmental organizations need to reconcile and integrate their huge and heterogeneous data assets; statistical agencies routinely link survey and administrative data, in the health sector historical data on patients; and analyses are to be linked for improving effectiveness of operation and policies [80]; security agencies increasingly rely on the ability to correlate files referring to a single individual; data linkage can help in bioinformatics to relate known genome sequences to a new unknown sequence. Due to such increasing interest in object identification, in this chapter, we pay attention to the main trends and results in the area with a focus on the latest results.

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Titel: Recent Advances in Object Identification
verfasst von: Carlo Batini
Monica Scannapieco
Verlag: Springer International Publishing
Buch: Data and Information Quality
Print ISBN: 978-3-319-24104-3

Electronic ISBN: 978-3-319-24106-7

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-24106-7_9

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Abstract

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