KDD-99 classifier learning contest LLSoft's results overview

I. MICHAEL LEVIN

ACM SIGKDD Explorations Newsletter · 2000 · 181 citations · 0 references

Concepts

Abstract

Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD99 Classifier Learning Contest, August 1999. We describe the Kernel Miner's approach and method used for solving the contest task. The received results are analyzed and explained.