Identification of Relevant Digital Forensic Traces Using Time Window Aggregation and Hierarchical Clustering
- 17 June 2026
- book chapter
- Published by Springer Nature
- p. 224-236
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Forensic Event Reconstruction With Process MiningIEEE Access, 2026
- Formal concept analysis approach to understand digital evidence relationshipsInternational Journal of Approximate Reasoning, 2023
- Detection of relevant digital evidence in the forensic timelines2022
- A Comprehensive Survey on Computer Forensics: State-of-the-Art, Tools, Techniques, Challenges, and Future DirectionsIEEE Access, 2022
- Explainable artificial intelligence for digital forensicsWIREs Forensic Science, 2021
- Cluster Quality Analysis Using Silhouette Score2020
- Graph clustering and anomaly detection of access control log for forensic purposesDigital Investigation, 2017
- Analysis of Agglomerative ClusteringAlgorithmica, 2012
- An automated timeline reconstruction approach for digital forensic investigationsDigital Investigation, 2012
- A dendrite method for cluster analysisCommunications in Statistics, 1974