1. Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining

Z. Anari; A. Hatamlou; B. Anari; M. Masdari

Volume 8, Issue 4 , Autumn 2020, , Pages 491-514

http://dx.doi.org/10.22044/jadm.2020.8928.2029

Abstract
  The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF) and can be used to evaluate user browsing behavior. ...  Read More

H.3. Artificial Intelligence
2. Forecasting Gold Price using Data Mining Techniques by Considering New Factors

A.R. Hatamlou; M. Deljavan

Volume 7, Issue 3 , Summer 2019, , Pages 411-420

http://dx.doi.org/10.22044/jadm.2018.6114.1727

Abstract
  Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase ...  Read More