Hybrid geo-information processing : crowdsourced supervision of geo-spatial machine learning tasks
Frank Ostermann · University of Twente Research Information · 2015
This paper introduces an approach to crowdsource the supervision of machine learning classification and regression tasks in order to process geo-social media streams.It builds on a review and comparison of four existing approaches to process geo-social media streams in order to identify specific opportunities and challenges.An original conceptual framework situates the machine learning tasks within a geoinformation processing workflow.The paper presents and discusses concrete techniques and software solutions for implementing it.