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dc.contributor.authorJlailaty, Diana*
dc.contributor.authorGrigori, Daniela*
dc.contributor.authorBelhajjame, Khalid*
dc.date.accessioned2019-09-27T12:05:37Z
dc.date.available2019-09-27T12:05:37Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19923
dc.descriptionCommunications in Computer and Information Science book series (CCIS, volume 1040)
dc.language.isoenen
dc.subjectEmail mining
dc.subjectText mining
dc.subjectBusiness process
dc.subjectBusiness activity
dc.subjectProcess instance
dc.subject.ddc004en
dc.titleEmail Business Activities Extraction and Annotation
dc.typeCommunication / Conférence
dc.description.abstractenEmails play, in the personal and particularly in the professional context, a central role in activity management. Emails can be harvested and re-engineered for understanding the undocumented business process activities and their corresponding metadata. Our goal in this paper is to recast emails into business activity centric resources. We describe an approach that is able to discover business process activities from emails. In addition, for each activity type, we extract metadata such as the roles of the people exchanging the email, type of the attached documents, or the domains of the mentioned links. In order to extract activities from emails, we compare several popular non-linear classification techniques. Activities are then clustered according to their types, which allows us to construct the metadata for each activity type. We validate our approach using a public email dataset
dc.identifier.citationpages69-86
dc.relation.ispartoftitleInformation Search, Integration, and Personalization 12th International Workshop, ISIP 2018
dc.relation.ispartofeditorDimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, Rin-ichiro Taniguchi
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofurl10.1007/978-3-030-30284-9
dc.subject.ddclabelInformatique généraleen
dc.relation.ispartofisbn978-3-030-30283-2
dc.relation.confdate2018
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-030-30284-9_5
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-04-03T07:57:04Z
hal.person.labIds*
hal.person.labIds*
hal.person.labIds*
hal.identifierhal-02299052*


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