MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
Dependency Detection in MobiMine and Random Matrices
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
Computational intelligence in economics and finance: carrying on the legacy of Herbert Simon
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Efficient prediction of exchange rates with low complexity artificial neural network models
Expert Systems with Applications: An International Journal
An empirical methodology for developing stockmarket trading systems using artificial neural networks
Expert Systems with Applications: An International Journal
NORN finance forecaster: a neural oscillatory-based recurrent network for finance prediction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
An intelligent computing algorithm to analyze bank stock returns
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Learning and predicting financial time series by combining natural computation and agent simulation
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Learning predictive models for financial time series by using agent based simulations
Transactions on Compuational Collective Intelligence VI
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From the Publisher:Many research articles have appeared on applying neural network techniques to prediction in the various financial markets, but few publications offer practical guidance for implementing these techniques in the real world. This book provides a step-by-step system for setting up and trading a market using a neural network as the prediction engine. The techniques and methods presented in this book can be applied to any market, anywhere in the world, so this book will appeal to anyone who wants to trade or predict financial markets, specifically institutional traders (futures, commodities, stock, bonds, currencies, etc.), private investors and brokerage houses. It should also be of interest to students of financial market timing and Artificial Intelligence.