Publication Date

5-2016

Comments

Technical Report: UTEP-CS-16-27

Abstract

Traditionally, the progress in science was usually achieved by gradually modifying known problem-solving techniques -- so that the modified techniques can solve problems similar to the already-solved ones. Recently, however, a different -- successful -- paradigm of big data appeared. In the big data paradigm, we, in contrast, look for problems which cannot be solved by gradual modifications of the existing methods. In this paper, we propose a geometric explanation for the empirical success of this new paradigm.

Share

COinS