Intuitive Time-Series-Analysis-Toolbox for Inexperienced Data Scientists
Felix Pistorius, Daniel D. Baumann, Luca Seidel, Eric Sax · 2020
There are many different procedures to carry out a data mining project. Depending on the application, various methods have to be chosen, which is normally done by experts. For inexperienced users without machine learning experience, it is difficult to analyse their data without help.To simplify the access to data mining particularly for multivariate time series analysis, we propose an intuitive toolbox that guides step-by-step through data mining process. Furthermore, it supports inexperienced users with pre-suggested methods in every data mining process step. Therefore, specifications for such a toolbox are defined and a prototype for the realization of a toolbox is presented. The work steps which are based on the knowledge discovery process can be adapted and changed to suit different application scenarios.