Changelog

Version 0.7.2

• Added as.data.frame S3 method for transforming SDEFSR_Dataset into a data.frame.
• Method plotRules() is changed by the default S3 plot() method for class SDEFSR_Rules.
• Changed cat() and print() message with message() or warning() in order to be easily removed.
• Fixed minor errors.

Version 0.7.1.0

• Change the name of the read.keel() function to read.dataset().
• Added direct support for CSV files on read.dataset().
• Rename keel class to SDEFSR_Dataset class.
• Rename keelFromDataFrame() to SDEFSR_DatasetFromDataFrame().
• Added a new object SDEFSR_Rules which:
  • Contains all rules generated by an SD algorithm an its associated quality measures.
  • The “[]” operator supports filter rules by quality measure
  • Added S3 method “sort” to sort rules by a given quality measure
• Added new method plotRules() which shows a TPR vs FPR plot by using ggplot2 package.
• Fixed error when reading ARFF files with quoted ’’ variables.
• Changes of the UI:
  • Added a new visualization method: Variable vs variable
  • Added functionality to filter numerical variables
  • Added functionality to filter instances by the given numeric or categorical filters
  • On quality measure tab, the functionality to show the plot of plotRules() is displayed
  • Changed the server logic to work with the new SDEFSR_Rules object to improve performance on large results.

Version 0.7.0.0

• Added a new subgroup discovery algorithm: FuGePSD.
• New dataset files support:
  • ARFF files support from read.keel()
  • Conversion from data.frame to keel with keelFromDataFrame() function.
• Minor optimizations when reading a file.
• Some algorithm optimizations, changed a bit the way of calling the functions Be aware with this!
• Fixed problem of the algorithms that returns four files instead of three. Now all the algorithms (except FuGePSD) returns three files.
• Created S3 method to visualize keel objects with print() and summarize with summary()
• Changes of the UI:
  • Algorithm selection an parameters now are on the tab panel of the right side of the UI after “Exploratory analysis”. We think with this change the user has a better workflow and a better visualisation and organization of the results.
  • Also, the new functionality is available on the GUI, except the conversion from data.frame.