ABSTRACT
This introduction presents an overview of the key concepts discussed in this book. The book elaborates on machine-learning data mining, which define as personal computer (PC) learning without the electronic design automation (EDA)/statistics component. The PC has advanced statistical thinking in the decision-making process as evidenced by visual displays such as bar charts and line graphs, animated three-dimensional rotating plots, and interactive marketing models found in management presentations. The PC also facilitates support documentation, which includes the calculations for measures such as mean profit across market segments from a marketing database; statistical output is copied from the statistical software and then pasted into the presentation application. The term data mining emerged from the database marketing community sometime between the late 1970s and early 1980s. The data analyst should be a keen observer of indicators that are capable of being dealt with successfully and should use them to paint an analytical picture of the data.
