Published on 28 May 2025

Results for Unsupervised Anomaly Detection in S&P 500: A Comparative Approach

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Fabian Beerli

Description

Results to the Bachelor Thesis: Unsupervised Anomaly Detection in S&P 500: A Comparative Approach

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

57%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00