A unified framework of density-based clustering for semi-supervised classification

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Original languageEnglish
Title of host publicationProceedings of the 30th International Conference on Scientific and Statistical Database Management : SSDBM '18
Number of pages12
PublisherAssociation for Computing Machinery
Publication date2018
Article number11
ISBN (Electronic)978-1-4503-6505-5
DOIs
Publication statusPublished - 2018
EventInternational Conference on Scientific and Statistical Database Management - Bolzano-Bozen, Italy
Duration: 9 Jul 201811 Jul 2018
Conference number: 30
http://ssdbm2018.inf.unibz.it/

Conference

ConferenceInternational Conference on Scientific and Statistical Database Management
Number30
CountryItaly
CityBolzano-Bozen
Period09/07/201811/07/2018
Internet address

Cite this

Gertrudes, J. C., Zimek, A., Sander, J., & Campello, R. J. G. B. (2018). A unified framework of density-based clustering for semi-supervised classification. In Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18 [11] Association for Computing Machinery. https://doi.org/10.1145/3221269.3223037
Gertrudes, Jadson Castro ; Zimek, Arthur ; Sander, Jörg ; Campello, Ricardo J. G. B. / A unified framework of density-based clustering for semi-supervised classification. Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Association for Computing Machinery, 2018.
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year = "2018",
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language = "English",
booktitle = "Proceedings of the 30th International Conference on Scientific and Statistical Database Management",
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Gertrudes, JC, Zimek, A, Sander, J & Campello, RJGB 2018, A unified framework of density-based clustering for semi-supervised classification. in Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18., 11, Association for Computing Machinery, International Conference on Scientific and Statistical Database Management, Bolzano-Bozen, Italy, 09/07/2018. https://doi.org/10.1145/3221269.3223037

A unified framework of density-based clustering for semi-supervised classification. / Gertrudes, Jadson Castro; Zimek, Arthur; Sander, Jörg; Campello, Ricardo J. G. B.

Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Association for Computing Machinery, 2018. 11.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - A unified framework of density-based clustering for semi-supervised classification

AU - Gertrudes, Jadson Castro

AU - Zimek, Arthur

AU - Sander, Jörg

AU - Campello, Ricardo J. G. B.

PY - 2018

Y1 - 2018

U2 - 10.1145/3221269.3223037

DO - 10.1145/3221269.3223037

M3 - Article in proceedings

BT - Proceedings of the 30th International Conference on Scientific and Statistical Database Management

PB - Association for Computing Machinery

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Gertrudes JC, Zimek A, Sander J, Campello RJGB. A unified framework of density-based clustering for semi-supervised classification. In Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Association for Computing Machinery. 2018. 11 https://doi.org/10.1145/3221269.3223037