AnomalyDetection

Sample Anomaly Detection Algorithms

Usage

To run the apriori with dataset provided and default values for minSupport = 0.15 and minConfidence = 0.6

python apriori.py -f INTEGRATED-DATASET.csv

To run program with dataset

python apriori.py -f INTEGRATED-DATASET.csv -s 0.17 -c 0.68

Best results are obtained for the following values of support and confidence:

Support : Between 0.1 and 0.2

Confidence : Between 0.5 and 0.7

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.gitignore		.gitignore
INTEGRATED-DATASET-FOR-APRIORI.csv		INTEGRATED-DATASET-FOR-APRIORI.csv
README.md		README.md
apriori.py		apriori.py
k-means.py		k-means.py
plot_cluster_iris.py		plot_cluster_iris.py
plot_mahalanobis_distances.py		plot_mahalanobis_distances.py