A Simple and Effective Scheme for Data Pre-processing in Extreme Classification

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKhandagale, Sujayen_US
dc.contributor.authorBabbar, Rohiten_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentProfessorship Babbar Rohiten_US
dc.date.accessioned2021-11-17T08:23:08Z
dc.date.available2021-11-17T08:23:08Z
dc.date.issued2019-04-26en_US
dc.description.abstractExtreme multi-label classification (XMC) refers to supervised multi-label learning involving hundreds of thousand or even millions of labels. It has been shown to be an effective framework for addressing crucial tasks such as recommendation, ranking and web-advertising. In this paper, we propose a method for effective and well-motivated data pre-processing scheme in XMC. We show that our proposed algorithm, PrunEX, can remove upto 90% data in the input which is redundant from a classification view-point. Our scheme is universal in the sense it is applicable to all known public datasets in the domain of XMC.en
dc.description.versionPeer revieweden
dc.format.extent67-72
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKhandagale , S & Babbar , R 2019 , A Simple and Effective Scheme for Data Pre-processing in Extreme Classification . in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning . i6doc.com , pp. 67-72 , European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning , Bruges , Belgium , 24/04/2019 .en
dc.identifier.isbn978-287-587-065-0
dc.identifier.otherPURE UUID: 29699d73-2474-4017-b75b-beee61a9d274en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/29699d73-2474-4017-b75b-beee61a9d274en_US
dc.identifier.otherPURE LINK: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-167.pdfen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/74986437/ESANN.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/111072
dc.identifier.urnURN:NBN:fi:aalto-2021111710237
dc.language.isoenen
dc.relation.ispartofEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learningen
dc.relation.ispartofseriesESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learningen
dc.rightsopenAccessen
dc.titleA Simple and Effective Scheme for Data Pre-processing in Extreme Classificationen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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