DTREG predictive modelling software. Ease of use. DTREG is a robust application that is installed easily on any Windows system. DTREG reads Comma Separated Value (CSV) data files that are easily created from almost any data source. Once you create your data file, just feed it into DTREG, and let DTREG do all of the work of creating a decision tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses can be set up in minutes. Classification and Regression Trees. DTREG can build Classification Trees where the target variable being predicted is categorical and Regression Trees where the target variable is continuous like income or sales volume.

References in zbMATH (referenced in 4 articles )

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  1. Bandurski, Krzysztof; Kwedlo, Wojciech: A Lamarckian hybrid of differential evolution and conjugate gradients for neural network training (2010) ioport
  2. Chen, Shyi-Ming; Chang, Yu-Chuan: Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques (2010) ioport
  3. Kose, Mehmet M.; Kayadelen, Cafer: Modeling of transfer length of prestressing strands using genetic programming and neuro-fuzzy (2010)
  4. Taskiran, T.: Prediction of California bearing ratio (CBR) of fine grained soils by AI methods (2010) ioport