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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorPERE LAPERNE, Jacques
dc.date.accessioned2024-05-27T09:32:42Z
dc.date.available2024-05-27T09:32:42Z
dc.date.conference2018-07-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200057
dc.description.abstractEnThe worldwide volume of digital data doubles every 9 months. Over 75% of these data are unstructured. This paper concerns structuring the graphic information contained in vector files, including PDF (Portable Document Format) files, which represent a very significant share of all these vector files. We say these data are destructured because they are today produced by software. When there are stored or exchanged, (for example in PDF Files) only graphic information is kept and the data structure use to create the document is lost To structure these data, we use Knowledge Discovery in Databases (KDD). The following two issues arise: • Can the KDD method be adapted to “Structuring Destructured Documents”?• If so, what points need adapting or highlighting in the method to solve the issue of structuring essentially graphic documents?The answer to the questions is “YES” with the human in the loop. This is why we talk about the Anthropocentric Knowledge Discovery in Database method, abbreviated to (A)KDD.
dc.language.isoENen_US
dc.subject.enCHI
dc.subject.enPDF
dc.subject.enKDD
dc.subject.enGraphic reconstruction
dc.subject.enPattern recognition
dc.subject.enData Minning
dc.title.en(A)KDD for Structuring Destrured Documents
dc.typeCommunication dans un congrèsen_US
dc.subject.halInformatique [cs]en_US
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]en_US
dc.subject.halInformatique [cs]/Apprentissage [cs.LG]en_US
dc.subject.halInformatique [cs]/Interface homme-machine [cs.HC]en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.title2018 International Conference on Artificial Intelligence ICAI'18en_US
bordeaux.countryusen_US
bordeaux.title.proceedingProceedings of the 2018 International Conference on Artificial Intelligence ICAI'18en_US
bordeaux.conference.cityLas Vegas, NV. 89en_US
bordeaux.import.sourcehal
hal.identifierhal-01883868
hal.version1
hal.invitednonen_US
hal.proceedingsouien_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=PERE%20LAPERNE,%20Jacques&rft.genre=unknown


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