Integrating textual data into heterogeneous data ingestion processing

Integrating textual data into heterogeneous data ingestion processing

In this abstract, two methods for integrating textual data and textual features into ingestion processing are summa- rized. The first method involves integrating all features, including textual features, into dedicated frameworks, such as by using ma- chine learning techniques. In the second method, text and textual features, such as keywords, are used to explain results returned by heterogeneous data mining. In this context, it is necessary to link data (e.g., databases, images, etc.) and/or obtained results with textual data (e.g., documents and keywords).

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Main Authors: Roche, Mathieu, Teisseire, Maguelonne
Format: conference_item biblioteca
Language:eng
Published: IEEE Computer Society
Online Access:http://agritrop.cirad.fr/600139/
http://agritrop.cirad.fr/600139/2/Roche_Teisseire_BigData2021.pdf
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spelling dig-cirad-fr-6001392023-10-27T07:46:18Z http://agritrop.cirad.fr/600139/ http://agritrop.cirad.fr/600139/ Integrating textual data into heterogeneous data ingestion processing. Roche Mathieu, Teisseire Maguelonne. 2021. In : 2021 IEEE International Conference on Big Data. IEEE. Orlando : IEEE Computer Society, 6008-6010. ISBN 978-1-6654-3902-2 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Orlando, États-Unis, 15 Décembre 2021/18 Décembre 2021.https://doi.org/10.1109/BigData52589.2021.9671759 <https://doi.org/10.1109/BigData52589.2021.9671759> Integrating textual data into heterogeneous data ingestion processing Roche, Mathieu Teisseire, Maguelonne eng 2021 IEEE Computer Society 2021 IEEE International Conference on Big Data In this abstract, two methods for integrating textual data and textual features into ingestion processing are summa- rized. The first method involves integrating all features, including textual features, into dedicated frameworks, such as by using ma- chine learning techniques. In the second method, text and textual features, such as keywords, are used to explain results returned by heterogeneous data mining. In this context, it is necessary to link data (e.g., databases, images, etc.) and/or obtained results with textual data (e.g., documents and keywords). conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/acceptedVersion http://agritrop.cirad.fr/600139/2/Roche_Teisseire_BigData2021.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1109/BigData52589.2021.9671759 10.1109/BigData52589.2021.9671759 info:eu-repo/semantics/altIdentifier/doi/10.1109/BigData52589.2021.9671759 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1109/BigData52589.2021.9671759
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countrycode FR
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tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
description In this abstract, two methods for integrating textual data and textual features into ingestion processing are summa- rized. The first method involves integrating all features, including textual features, into dedicated frameworks, such as by using ma- chine learning techniques. In the second method, text and textual features, such as keywords, are used to explain results returned by heterogeneous data mining. In this context, it is necessary to link data (e.g., databases, images, etc.) and/or obtained results with textual data (e.g., documents and keywords).
format conference_item
author Roche, Mathieu
Teisseire, Maguelonne
spellingShingle Roche, Mathieu
Teisseire, Maguelonne
Integrating textual data into heterogeneous data ingestion processing
author_facet Roche, Mathieu
Teisseire, Maguelonne
author_sort Roche, Mathieu
title Integrating textual data into heterogeneous data ingestion processing
title_short Integrating textual data into heterogeneous data ingestion processing
title_full Integrating textual data into heterogeneous data ingestion processing
title_fullStr Integrating textual data into heterogeneous data ingestion processing
title_full_unstemmed Integrating textual data into heterogeneous data ingestion processing
title_sort integrating textual data into heterogeneous data ingestion processing
publisher IEEE Computer Society
url http://agritrop.cirad.fr/600139/
http://agritrop.cirad.fr/600139/2/Roche_Teisseire_BigData2021.pdf
work_keys_str_mv AT rochemathieu integratingtextualdataintoheterogeneousdataingestionprocessing
AT teisseiremaguelonne integratingtextualdataintoheterogeneousdataingestionprocessing
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