This article considers building mathematical models with financial data by using data
mining techniques. In general, data mining methods such as neural networks and decision
trees can be a useful addition to the techniques available to the financial analyst.
However, the data mining techniques tend to require more historical data than the standard
models and, in the case of neural networks, can be difficult to interpret.