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Dataset guide · 机器学习与语料

StreamSpot Dataset

The StreamSpot Dataset, created by Emaad Manzoor et al., contains 7 files for anomaly detection in streaming heterogeneous graphs, licensed under CC0 1.0.

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机器学习与语料Free to access

Key facts

InstitutionEmaad Manzoor, Sadegh M. Milajerdi and Leman Akoglu
CoverageSee official page
Time span2018-10-02 (updated)
Scale7 files
LicenseLicense pending verification
AccessHarvard Dataverse

Contents & fields

The dataset contains 7 files as edge-list data for anomaly detection in streaming heterogeneous graphs. No field-level description is provided on the source page.

Research uses

Suitable for graph anomaly detection, streaming graph analysis, heterogeneous graph mining, and other machine learning research.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

streaming graphanomaly detectionheterogeneous graphedge listKDD 2016

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When obtaining edge-list data for anomaly detection in streaming heterogeneous graphs, field descriptions and license conditions are often needed.

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