Multi-perspective Machine Learning (MPML) — A Machine Learning Model for Multi-faceted Learning Problems

Machine learning has been applied to various learning problems across a number of disciplines. The availability of data, algorithms and the success of machine learning methods has made machine learning a popular choice for analyzing and solving big data problems. In this paper, we propose a novel machine learning model based on ensemble learning, feature method pairs and multi-view learning concepts. This model targets learning problems with multiple factors or facets. Using botnet detection as an example multi-faceted learning problem, we explain the desirable properties this model promises. The aim of the model is to provide a guideline for designing machine learning based solutions for a specific type of learning problem.