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dc.contributor.authorNguyen, Thanh Tamen_US
dc.contributor.authorWeidlich, Matthiasen_US
dc.contributor.authorDuong, Chi Thangen_US
dc.contributor.authorYin, Hongzhien_US
dc.contributor.authorNguyen, Henryen_US
dc.contributor.editorCarles Sierraen_US
dc.date.accessioned2018-08-08T01:30:31Z
dc.date.available2018-08-08T01:30:31Z
dc.date.issued2017en_US
dc.identifier.doi10.24963/ijcai.2017/397en_US
dc.identifier.urihttp://hdl.handle.net/10072/347567
dc.description.abstractToday's social platforms, such as Twitter and Facebook, continuously generate massive volumes of data. The resulting data streams exceed any reasonable limit for permanent storage, especially since data is often redundant, overlapping, sparse, and generally of low value. This calls for means to retain solely a small fraction of the data in an online manner. In this paper, we propose techniques to effectively decide which data to retain, such that the induced loss of information, the regret of neglecting certain data, is minimized. These techniques enable not only efficient processing of massive streaming data, but are also adaptive and address the dynamic nature of social media. Experiments on large-scale real-world datasets illustrate the feasibility of our approach in terms of both, runtime and information quality.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherInternational Joint Conferences on Artifical Intelligence (IJCAI)en_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofconferencenameIJCAI-17en_US
dc.relation.ispartofconferencetitleProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)en_US
dc.relation.ispartofdatefrom2017-08-19en_US
dc.relation.ispartofdateto2017-08-25en_US
dc.relation.ispartoflocationMelbourne, Vic, Australiaen_US
dc.subject.fieldofresearchDatabase Managementen_US
dc.subject.fieldofresearchcode080604en_US
dc.titleRetaining Data from Streams of Social Platforms with Minimal Regreten_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
dc.description.versionPublisheden_US
gro.rights.copyright© 2017 International Joint Conference on Artificial Intelligence. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.hasfulltextFull Text
gro.griffith.authorNguyen, Henry


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