Privacy Aware Identification of User Clusters in Large Organisations based on Anonymized Mattermost User and Channel Information

I. Jakovljevic, M. Pobaschnig, C. Gütl, Andreas Wagner

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Proceedings of the 11th International Conference on Data Science, Technology and Applications - IARIA DATA ANALYTICS
Publication status	Published - 1 Nov 2022

Cite this

Research output: Contribution to journal › Article › peer-review

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title = "Privacy Aware Identification of User Clusters in Large Organisations based on Anonymized Mattermost User and Channel Information",

author = "I. Jakovljevic and M. Pobaschnig and C. G{\"u}tl and Andreas Wagner",

year = "2022",

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day = "1",

language = "English",

journal = "Proceedings of the 11th International Conference on Data Science, Technology and Applications - IARIA DATA ANALYTICS",

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T1 - Privacy Aware Identification of User Clusters in Large Organisations based on Anonymized Mattermost User and Channel Information

AU - Jakovljevic, I.

AU - Pobaschnig, M.

AU - Gütl, C.

AU - Wagner, Andreas

PY - 2022/11/1

Y1 - 2022/11/1

M3 - Article

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - IARIA DATA ANALYTICS

JF - Proceedings of the 11th International Conference on Data Science, Technology and Applications - IARIA DATA ANALYTICS

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