Seeing is believing: the importance of visualization in real-world machine learning applications

摘要: The increasing availability of data sets with a huge amount information, coded in many dierent features, justies the research on new methods knowledge extraction: great challenge is translation raw into useful information that can be used to improve decision- making processes, detect relevant proles, nd out relationships among etc. It undoubtedly true picture worth thousand words, what makes visualization likely most appealing and one kinds extration methods. At ESANN 2011, special session \Seeing believing: importance real-world machine learning applications" reects some main emerging topics eld. This tutorial prefaces session, summarizing its contributions, while also providing clues current state near future within framework Machine Learning.