CLIP3: Cover learning using integer programming
Abstract
Presents an inductive machine learning algorithm called CLIP3 (Cover learning using integer programming). CLIP3 is an extension of the CLILP2 algorithm. CLIP3 generates multiple rules for a given concept from two sets of discrete attribute data. It combines the best concepts of tree‐based and rule‐based algorithms to produce a highly reliable machine‐learning algorithm. The algorithm is run on the benchmark “MONK′s data sets”. Compares the results of standard machine learning algorithms such as the ID and AQ families of algorithms. The algorithm is also run on the breast cancer data set and the results are compared with C4.5 algorithm results.
Keywords
Citation
Cios, K.J., Wedding, D.K. and Liu, N. (1997), "CLIP3: Cover learning using integer programming", Kybernetes, Vol. 26 No. 5, pp. 513-536. https://doi.org/10.1108/03684929710176502
Publisher
:MCB UP Ltd
Copyright © 1997, MCB UP Limited