Optimized MMDR algorithm and it’s application in simulating stock market
Yongben Wang · Jisuanji gongcheng · 2005
MMDR(Machine Method for Discovering Regularities) is a method in Data Minning field which can get knowledge from data. In this paper, author designed a wide-first approximative regularity dual layer growing algorithm to implement MMDR, and introduced how to apply this algorism in stock price forecasting and building individual models in stock market simulation with the rules produced in the process that the algorithm runs.