Titlebook: Database and Expert Systems Applications - DEXA 2021 Workshops; BIOKDD, IWCFS, MLKgr Gabriele Kotsis,A Min Tjoa,Sohail Khan Conference proc

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On the Quality of Compositional Prediction for Prospective Analytics on Graphsns of their sub-parts and appropriate composition rules, and 2) the production of rich prospective analytics scenarios, where new objects never observed before can be predicted based on their simpler parts. We show that the quality of such predictions compete with macro-learning ones, while enabling

GEN

1865-0929 ta, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence..978-3-030-87100-0978-3-030-87101-7Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Avi Rosenfeld,Gal A Kaminka,Sarit KrausURL detection..In this work, we focus on privacy enabled malicious URL detection based on FHE using 3 methods (i) Deep Neural Network (DNN) (ii) Logistic regression (iii) Hybrid. In the hybrid approach, the feature extraction is done using DNN and classification is done using logistic regression mod

AVID

Suzanne Sadedin,Christian Guttmann personal data. We found that all participants have a very good understanding of their own research data, which in most cases is based on a well-developed research data management. Nevertheless, there is still some uncertainty, especially in the area of provenance and privacy.

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https://doi.org/10.1007/978-3-031-16617-4ns of their sub-parts and appropriate composition rules, and 2) the production of rich prospective analytics scenarios, where new objects never observed before can be predicted based on their simpler parts. We show that the quality of such predictions compete with macro-learning ones, while enabling