MinerLSD: Efficient Local Pattern Mining on Attributed Graphs

Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationProceedings 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
Publication statusPublished - 2018
EventIEEE International Conference on Data Mining - , Singapore
Duration: 17 Nov 201820 Nov 2018
http://icdm2018.org/

Conference

ConferenceIEEE International Conference on Data Mining
Abbreviated titleIEEE ICDM 2018
CountrySingapore
Period17/11/1820/11/18
Internet address

Cite this

Atzmueller, M., Soldano, H., Santini, G., & Bouthinon, D. (2018). MinerLSD: Efficient Local Pattern Mining on Attributed Graphs. In Proceedings 2018 IEEE International Conference on Data Mining Workshops (ICDMW)