This post is part of a series on how the 9 Laws of Data Mining from Tom Khabaza can be applied to analytics. You can find previous posts here. Law #9: “Law of Change”: All patterns are subject to change Photo credit: Tedrafranklin, Shutterstock. CC0 Public Domain All patterns change — not only because the data changes, but...
Post Tagged with: "Data Mining"
This post is part of a series on how the 9 Laws of Data Mining from Tom Khabaza can be applied to analytics. You can find previous posts here. Law #8: “Value Law” – The value of data mining results [and analytics] is not determined by the accuracy or stability of predictive models In analytics, we evaluate accuracy by defin...
September 18, 2014 3 min to read
Do Your Analytics Create Information Or Insight?
Category : 4CGeoWorks
This post is part of a series on how the 9 Laws of Data Mining from Tom Khabaza can be applied to analytics. You can find previous posts here. Law #6: “Insight Law” – Data mining [analytics] amplifies perception in the business domain Data mining tools are “perception amplifiers,” increasing our understanding of the bu...
August 11, 2014 4 min to read
Pattern Seekers: The Good, The Bad, and The Ugly
Category : 4CGeoWorks
Law #5: “Watkins’ Law” – There are always patterns [i] First, let’s talk about “The Good.” David Byrne, writing in the introduction to Gareth Cook’s book, The Best American Infographics, 2013, describes the power of the infographic as: “…an inbuilt ability to manipulate visual metaphors in ways we canno...
This post is part of a series on how the 9 Laws of Data Mining from Tom Khabaza can be applied to analytics. You can find previous posts here. The statement that “a piano makes music” is a clear misunderstanding. We all know that the pianist or any other musician is the source of the music and that the instrument is the tool....
June 20, 2014 7 min to read
Sculpting Your Clay: Analytics Lessons from the Amazon
Category : 4CGeoWorks
This post is part of a series on how the 9 Laws of Data Mining from Tom Khabaza can be applied to analytics. You can find previous posts on the 4C Blog. I grew up in the Amazon. (How and why is a topic for another forum.) Today, I am an analyst. Although there are few similarities between these two worlds, some principles are comm...
