Abstract
Financial data provides a valuable up-to-date knowledge of the world economy. However, it is presented in extremely large data volumes, in diverse formats, and is constantly being updated at a high speed. The Ramex-Forum algorithm is oriented to guide financial experts in finding new and relevant information. We present a sensitivity analysis and new visualizations using an improved version of the Ramex-Forum algorithm. The proposed algorithm is applied to two case studies – the petroleum production chain and the European financial institutions risk analysis. Different combinations of parameters and new ways to visualize data are used. Results highlight the importance of Ramex-Forum for analysing relevant relationships in price variations in financial markets.
Original language | English |
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Article number | e12174 |
Journal | Expert Systems |
Volume | 34 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Feb 2017 |
Keywords
- business intelligence
- data analysis
- European financial data
- petroleum production chain
- rule learning