KDD-99 classifier learning contest LLSoft's results overview
ACM SIGKDD Explorations NewsletterPublished 1 January 2000
I. MICHAEL LEVIN
Citations181
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TL;DR
The Kernel Miner's approach and method used for solving the contest task is described and the received results are analyzed and explained.
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.
Keywords
Computer Science