Note:
csv_database.db takes approximatelly 1.5GB and for that reason
is not available directy on the github.
Download full data from: https://www.kaggle.com/c/expedia-personalized-sort/data
This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.
Note:
csv_database.db takes approximatelly 1.5GB and for that reason
is not available directy on the github.
Download full data from: https://www.kaggle.com/c/expedia-personalized-sort/data
This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.