This work was developed in partnership with the company Ritain.io and ieeta, under the project zenPrice™ - Competitive intelligence SaaS, based on time series with the evolution of the price of a given product during a certain period of time, where the daily price is read and stored in an information repository. This work was carried out in the context of the thesis "Pattern identification in prices of products and services of Telco/CSPs companies".
This repository is organized into different tasks that were carried out throughout the work:
- Starting with extracting and cleaning of the data
- Time Series Feature Extraction
- Application of different dimensionality reduction and clustering methods
- Analysis of clusters
Contacts
Miguel Amorim, Author of the dissertation, [email protected]
Sónia Gouveia, PhD Researcher, Supervisor of the dissertation, [email protected].