From Cognitive Science to Data Mining: The First Intelligence Amplifier

Abstract

This chapter gives an account of the nine Laws of Data Mining, and proposes two hypotheses about data mining and cognition. The nine Laws describe key properties of the data mining process, and their explanations explore the reasons behind these properties. The first hypothesis is that data mining is a kind of intelligence amplifier, because the data mining process enables the data miner to see things which they could not see unaided, as stated in the sixth law of data mining. The second hypothesis is that machine learning algorithms have a special value to data mining because they represent knowledge in a way which is cognitively plausible, and this makes them more suitable for intelligence amplification. © Springer International Publishing Switzerland 2014.