Instability of Classifiers on Categorical Data Arno Siebes, Muhammad Subianto, and Ad Feelders   View Paper (PDF)   Return to Session 3: Pattern Analysis on Text and Structured Data Abstract In this paper we study the local behaviour of arbitrary classifiers using the instability of that classifier in a data point. Moreover, we introduce two algorithms. The first to find highly unstable points, the second to find islands of stability. ©2006 Association for Computing Machinery