KDD-99 Classifier Learning Contest: LLSoft's Results Overview

Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 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. Keywords Data Mining competition, decision trees, optimal decision forest, classification, prediction.

• Type: Journal
• Year: 2000
• Where: SIGKDD
• Authors: Itzhak Levin
• Keywords: Kernel Miner, Optimal Decision, Optimal Decision Forest, SIGKDD 2000