Some thoughts on failure analysis for noisy data

ABSTRACT

A critical piece of evaluation is doing a failure analysis of the experimental results. This is necessary to improve results, but equally important, it is necessary to understand where the problems REALLY are, as opposed to just following "conventional" wisdom. The talk will present some current failure analysis techniques and examine how these techniques could be extended to retrieval from noisy data.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  F. Theory of Computation
  F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
      F.2.1 Numerical Algorithms and Problems

General Terms:
Algorithms, Design