VA+ Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics
Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …
especially within the field of visual analytics, have mentioned the term “embedding” when …
Power to the Data Defenders: Human-Centered Disclosure Risk Calibration of Open Data
K Bhattacharjee, A Dasgupta - arXiv preprint arXiv:2304.11278, 2023 - arxiv.org
The open data ecosystem is susceptible to vulnerabilities due to disclosure risks. Though
the datasets are anonymized during release, the prevalence of the release-and-forget model …
the datasets are anonymized during release, the prevalence of the release-and-forget model …
[PDF][PDF] DT-Anon: Decision Tree Target-Driven Anonymization
SDC di Vimercati, S Foresti, V Ghirimoldi… - Proc. of DBSec, San …, 2024 - spdp.di.unimi.it
More and more scenarios rely today on data analysis of massive amount of data, possibly
contributed from multiple parties (data controllers). Data may, however, contain information …
contributed from multiple parties (data controllers). Data may, however, contain information …
VALUE: Visual Analytics driven Linked data Utility Evaluation
K Bhattacharjee, A Dasgupta - Proceedings of the Workshop on Human …, 2023 - dl.acm.org
The widespread adoption of open datasets across various domains has emphasized the
significance of joining and computing their utility. However, the interplay between …
significance of joining and computing their utility. However, the interplay between …
DT-Anon: Decision Tree Target-Driven Anonymization
S De Capitani di Vimercati, S Foresti… - IFIP Annual Conference …, 2024 - Springer
More and more scenarios rely today on data analysis of massive amount of data, possibly
contributed from multiple parties (data controllers). Data may, however, contain information …
contributed from multiple parties (data controllers). Data may, however, contain information …
Early Prediction of Cyber Hacking Breaches in Network Using the Novel CNN GoogleNet Compared Against AlexNet Machine Learning Algorithms
MS Saravanan, C Lokesh - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The aim of this research study is to predict the Cyber Hacking Breaches at earlier stage
using dataset. For this two machine learning algorithms Novel Convolutional Neural …
using dataset. For this two machine learning algorithms Novel Convolutional Neural …
Predictive Relationship in Time and Cost Between Planning and Construction Phases in Capital Projects
SH Amin - 2024 - search.proquest.com
The purpose of this quantitative, predictive correlational study was to examine to what
extent, if any, a statistically predictive relationship existed between the changes in predictor …
extent, if any, a statistically predictive relationship existed between the changes in predictor …
Check for DT-Anon: Decision Tree Target-Driven Anonymization Sabrina De Capitani di Vimercati (), Sara Foresti, Valerio Ghirimoldi, and Pierangela Samarati
SDC di Vimercati - Data and Applications Security and Privacy …, 2024 - books.google.com
More and more scenarios rely today on data analysis of massive amount of data, possibly
contributed from multiple parties (data controllers). Data may, however, contain information …
contributed from multiple parties (data controllers). Data may, however, contain information …