A crucial issue related to data mining on time-series is that of training period duration. The training horizon used impacts the nature of rules obta...
Although it is widely accepted that research from data mining, knowledge discovery, and data warehousing should be synthesized, little research addre...
In this case study in knowledge engineering, data mining, and behavioral finance, we implement a variation of the bull flag stock charting heuristic...
Corporate credit rating analysis has attracted lots of research interests in the literature. Recent studies have shown that Artificial Intelligence (...
A lot of research has been done to predict economic development. The problem studied here is about the stock prediction for use of investors. More sp...
