Data Mining & Predictive Analytics
Nine Laws of Data Mining in Haikus
by Tom Khabaza
Continued from 9 Laws of Data Mining
On this page I will publish the 9 Laws of Data Mining in the form of Haikus, during March & April 2010. The challenge is to express, in a single haiku, not just a law, but also a flavour of its explanation. I hope you will enjoy these haikus as much as I have enjoyed writing them.
What is this mining? / Why is the process like this? / Can the process change?
First the business goal / Is all in data mining / This defines the field
Second is knowledge / Of business at every stage / This is the centre
Third prepare data / The form permits the question / Shape the problem space
Fourth is no free lunch / By searching find the model / And the goal may change
Fifth is Watkins law / There will always be patterns / Traces in data
Sixth is perception / Data mining amplifies / Thus we find insight
Seventh prediction / Generalised from data / New facts locally
Eighth is the value / All value comes from business / Not technical things
Ninth and last is change / No pattern lasts forever / We do not stand still
Miners know this truth / How can business be better? / If we see what is
Can the process change? / Technology can change it / None has done so yet
Copyright (c) Tom Khabaza 2010-11.