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@TECHREPORT{jf:TUD-KE-2009-03,
       author = {Wohlrab, Lars and F{\"{u}}rnkranz, Johannes},
        title = {A Comparison of Strategies for Handling Missing Values in Rule Learning},
       number = {TUD-KE-2009-03},
         year = {2009},
  institution = {TU Darmstadt, Knowledge Engineering Group},
          url = {http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-2009-03.pdf},
     abstract = {In this paper, we review possible strategies for handling missing values in separate-and-conquer rule learning algorithms, and compare them experimentally on a large number of datasets. In particular through a careful study with data with controlled levels of missing values we get additional insights on the strategies’ different biases w.r.t. attributes with
missing values. Somewhat surprisingly, a strategy that implements a strong bias against the use of attributes with missing values, exhibits the best average performance on 24 datasets from the UCI repository.}
}