An instance selection method for large datasets based on Markov Geometric Diffusion

摘要

Given the growing amount of data produced from within different areas of knowledge, data mining methods currently have to face challenging datasets with greater numbers of instances and attributes. However, the processing capacity of data mining algorithms is struggling under this growth. One alternative for tackling the problem is to perform instance selection on the data in order to reduce its size, as a preprocessing step for data mining algorithms.