Time-Series Clustering Available

Amazon Access Samples

Computer Science Creative Commons Attribution 4.0 International

Abstract

Amazon's InfoSec is getting smarter about the way Access data is leveraged. This is an anonymized sample of access provisioned within the company.

Instances

30,000

Features

20,000

Data Type

Time-Series

Missing Values

Purpose

Clustering

Amazon Access Samples.data

CSV N/A • Data

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README.md

MD N/A • Documentation

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Keywords

Time-Series Domain-Theory

Contributors

UCI Machine Learning Repository

Donor

Details

UCI ID amazon-acc-407

Added May 19, 2026

Updated Jun 09, 2026

Approved May 19, 2026

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Cite this Dataset

BibTeX

@dataset183,
  title = { Amazon Access Samples },
  year = { 2026 },
  url = { https://datasphere.metanoia.my.id/datasets/183 }
}

APA Style

Amazon Access Samples. (2026). Amazon Access Samples.