Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data

no code implementations • 14 Dec 2017 • Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme

This paper proposes an adaptive kNN classifier where k is chosen dynamically for each instance (point) to be classified, such that the expected accuracy of classification is maximized.

Classification General Classification

Gender Inference using Statistical Name Characteristics in Twitter

no code implementations • 17 Jun 2016 • Juergen Mueller, Gerd Stumme

Much attention has been given to the task of gender inference of Twitter users.