Prior research has shown that supplying decision-makers with data quality (DQ) tags, metadata about the quality of data used in decision-making, can impact decision outcomes in cer...
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...