Duncan Ross

Duncan has been a data miner since the mid 1990s. He was Director of Advanced Analytics at Teradata until 2010, leaving to become Data Director of Experian UK. He rejoined Teradata to lead their European Data Science team. At Teradata he has been responsible for developing analytical solutions across a number of industries, including warranty and root cause analysis in manufacturing, and social network analysis in telecommunications. These solutions have been developed directly with customers and have been deployed against some of the largest consumer bases in Europe. In his spare time Duncan has been a city Councillor, chair of a national charity, founded an award winning farmers’ market, and is one of the founding Directors of the Society of Data Miners.

The 0th Law of Data Mining

Preview of The Laws of Data Mining Session at Strata Santa Clara 2013

Many years ago I was taught about the three laws of thermodynamics. When that didn’t stick, I was taught a quick way to remember originally identified by C.P. Snow:

  • 1st Law: you can’t win
  • 2nd Law: you can’t draw
  • 3rd Law: you can’t get out of the game

These laws (well the real ones) were firmly established by the mid 19th century. Yet, it wasn’t until the 1930s that the value of the 0th law was identified.

At Strata I’m going to be talking about the 9 Laws of Data Mining – a set of principles identified by Tom Khabaza and very closely related to the CRISP-DM data mining methodology.

They may possibly, just possibly, not be as important as the laws of thermodynamics, but at Strata they will be supported by an equally important 0th Law.

Read more…

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