Signal Processing using Hybrid Recurrent Models for Data Mining Knowledge Discovery in Financial Trajectories

D. Al-Dabass, D. Evans, and S. Sivayoganathan (UK)


data mining, financial trajectories, hybridrecurrent nets.


Starting with a model of the financial trajectory to be mined, a recurrent hybrid algorithm is derived to discover the knowledge embedded within the data. Results show good performance of the algorithm in discovering the data model parameters online. Suggestions for future directions are given.

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