MERCS: Efficient Modeling of Big Data with Multidirectional Ensembles of Decision Trees KU Leuven
The field of data mining covers a large variety of tasks, such as classification, regression, clustering, outlier detection, subgroup discovery, probabilistic inference, ..., and an even larger variety of methods. Many methods have a high computational complexity, which makes them unsuitable for analyzing very large datasets. A possible solution to this is the automatic construction, from data, of a model that can next be analyzed instead ...