Identifying Causal Structures from Cyberstalking: Behaviors Severity and Association

Autor: Shkurte Luma-Osmani, Florije Ismaili, Pankaj Pathak, Xhemal Zenuni

Publikováno v: Journal of Communications Software and Systems, Vol 18, Iss 1, Pp 1-8 (2022)

This paper presents an etiological cyberstalking study, meaning the use of various technologies and internet in general to harass or to stalk someone. The novelty of the paper is the multivariate empirical approach of cyberstalking victimization that

Externí odkaz: https://doaj.org/article/630c5ce5caac4bfdbc59a8d833f9eb56

Differential Causal Rules Mining in Knowledge Graphs

Autor: Rallou Thomopoulos, Nathalie Pernelle, Fatiha Saïs, Lucas Simonne

Publikováno v: K-CAP
11th Knowledge Capture Conference
11th Knowledge Capture Conference, Dec 2021, New York (USA), United States. ⟨10.1145/3460210.3493584⟩

In recent years, keen interest towards Knowledge Graphs has increased in both academia and the industry which has led to the creation of various datasets and the development of different research topics. In this paper, we present an approach that dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b10b3b643ae3cc23ce88b7f075d547b6
https://doi.org/10.1145/3460210.3493584

Discovering Context Specific Causal Relationships

Autor: Saisai Ma, Lin Liu, Thuc Duy Le, Jiuyong Li

With the increasing need of personalised decision making, such as personalised medicine and online recommendations, a growing attention has been paid to the discovery of the context and heterogeneity of causal relationships. Most existing methods, ho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb289fc16694fe3187232c246b7c1a44

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