Reconstructing a cascade from temporal observations

Han Xiao, Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis

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

Original languageOther/Unknown
Title of host publicationProceedings of the 2018 SIAM International Conference on Data Mining
Number of pages9
PublisherSociety for Industrial and Applied Mathematics Publications
Publication date1 May 2018
Pages666-674
DOIs
Publication statusPublished - 1 May 2018
Externally publishedYes
MoE publication typeA4 Article in conference proceedings

Cite this

Xiao, H., Rozenshtein, P., Tatti, N., & Gionis, A. (2018). Reconstructing a cascade from temporal observations. In Proceedings of the 2018 SIAM International Conference on Data Mining (pp. 666-674). Society for Industrial and Applied Mathematics Publications. https://doi.org/10.1137/1.9781611975321.75
Xiao, Han ; Rozenshtein, Polina ; Tatti, Nikolaj ; Gionis, Aristides. / Reconstructing a cascade from temporal observations. Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, 2018. pp. 666-674
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Xiao, H, Rozenshtein, P, Tatti, N & Gionis, A 2018, Reconstructing a cascade from temporal observations. in Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, pp. 666-674. https://doi.org/10.1137/1.9781611975321.75

Reconstructing a cascade from temporal observations. / Xiao, Han; Rozenshtein, Polina; Tatti, Nikolaj; Gionis, Aristides.

Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications, 2018. p. 666-674.

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

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BT - Proceedings of the 2018 SIAM International Conference on Data Mining

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Xiao H, Rozenshtein P, Tatti N, Gionis A. Reconstructing a cascade from temporal observations. In Proceedings of the 2018 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics Publications. 2018. p. 666-674 https://doi.org/10.1137/1.9781611975321.75