Data Mining & Predictive Analytics

Tom Khabaza

 

Nine Laws of Data Mining in Haikus

by Tom Khabaza

 

Continued from “9 Laws of Data Mining”

 

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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.

 

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What is this mining? / Why is the process like this? / Can the process change?

 

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First the business goal / Is all in data mining / This defines the field

 

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Second is knowledge / Of business at every stage / This is the centre

 

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Third prepare data / The form permits the question / Shape the problem space

 

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Fourth is no free lunch / By searching find the model / And the goal may change

 

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Fifth is Watkins law / There will always be patterns / Traces in data

 

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Sixth is perception / Data mining amplifies / Thus we find insight

 

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Seventh prediction / Generalised from data / New facts locally

 

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Eighth is the value / All value comes from business / Not technical things

 

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Ninth and last is change / No pattern lasts forever / We do not stand still

 

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Miners know this truth / How can business be better? / If we see what is

 

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Can the process change? / Technology can change it / None has done so yet

 

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Copyright (c) Tom Khabaza 2010-11.