As mentioned in Chap. 1, pruning methods are increasingly required for rule simplification due to the overfitting problem. This chapter introduces two approaches of rule simplification namely, pre-pruning and post-pruning. In particular, some existing rule pruning algorithms are described in detail. These algorithms are also discussed comparatively with respects to their advantages and disadvantages.
|Title of host publication||Rule Based Systems for Big Data|
|Subtitle of host publication||A Machine Learning Approach|
|Number of pages||8|
|ISBN (Print)||9783319236957, 9783319370279|
|Publication status||Published - 17 Sept 2015|
|Name||Studies in Big Data|