Publications

DM Direct Special Report, May 3, 2005, By Tom Khabaza

The intrepid data miner runs many risks, including being buried under mountains of data. Some risks are just myths that need to be debunked. Others, however, are real. In this article, I will debunk several of these myths and misconceptions and then describe some problems and pitfalls commonly encountered when conducting data mining, along with steps that you can take to protect yourself from them.

Myth #1: Data mining is all about algorithms.

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