Presents an inductive machine learning algorithm called CLIPS (Cover l
earning using integer programming). CLIPS is an extension of the CLILP
2 algorithm. CLIP3 generates multiple rules for a given concept from t
wo sets of discrete attribute data. It combines the best concepts of t
ree-based and rule-based algorithms to produce a highly reliable machi
ne-learning algorithm. The algorithm is run on the benchmark ''MONK's
data sets''. Compares the results of standard machine learning algorit
hms such as the ID and AQ families of algorithms. The algorithm is als
o run on the breast cancer data set and the results are compared with
C4.5 algorithm results.