github.com/vlifesystems/rulehunter@v0.0.0-20180501090014-673078aa4a83/examples/csv/steel_plate_faults.txt (about)

     1  Steel Plate Faults
     2  ==================
     3  
     4  Data Source:
     5    UCI Machine Learning Repository [http://archive.ics.uci.edu/ml].
     6    Irvine, CA: University of California, School of Information and
     7    Computer Science.
     8    https://archive.ics.uci.edu/ml/datasets/Steel+Plates+Faults
     9  
    10  Dataset provided by:
    11    Semeion
    12    Research Center of Sciences of Communication
    13    Via Sersale 117
    14    00128
    15    Rome
    16    Italy
    17  
    18    www.semeion.it
    19  
    20  
    21  Fields:
    22    Attributes (27 independent variables):
    23      X_Minimum
    24      X_Maximum
    25      Y_Minimum
    26      Y_Maximum
    27      Pixels_Areas
    28      X_Perimeter
    29      Y_Perimeter
    30      Sum_of_Luminosity
    31      Minimum_of_Luminosity
    32      Maximum_of_Luminosity
    33      Length_of_Conveyer
    34      TypeOfSteel_A300
    35      TypeOfSteel_A400
    36      Steel_Plate_Thickness
    37      Edges_Index
    38      Empty_Index
    39      Square_Index
    40      Outside_X_Index
    41      Edges_X_Index
    42      Edges_Y_Index
    43      Outside_Global_Index
    44      LogOfAreas
    45      Log_X_Index
    46      Log_Y_Index
    47      Orientation_Index
    48      Luminosity_Index
    49      SigmoidOfAreas
    50    Type of dependent variables (7 Types of Steel Plates Faults):
    51      Pastry
    52      Z_Scratch
    53      K_Scatch
    54      Stains
    55      Dirtiness
    56      Bumps
    57      Other_Faults
    58  
    59  Relevant Papers:
    60  
    61    1.M Buscema, S Terzi, W Tastle, A New Meta-Classifier,in NAFIPS 2010, Toronto (CANADA),26-28 July 2010, 978-1-4244-7858-6/10 ©2010 IEEE
    62    2.M Buscema, MetaNet: The Theory of Independent Judges, in Substance Use & Misuse, 33(2), 439-461,1998