Nine Laws of Data Mining Data mining is the creation of new knowledge in natural or artificial form, by using business knowledge to discover and interpret patterns in data. In its current form, data mining as a field of practise came into existence in the 1990s, aided by the emergence of data mining algorithms packaged within workbenches so as to be suitable for business analysts. Perhaps because of its origins in practice rather than in theory, relatively little attention has been paid to understanding the nature of the data mining process. The development of the CRISP-DM(#ijsrd) methodology in the late 1990s was a substantial step towards a standardised description of the process that had already been found successful and was (and is) followed by most practising data miners. Although CRISP-DM(#ijsrd) describes how data mining is performed, it does not explain what data mining is or why the process has the properties that it does. In this paper I propos...