Ian Ayres 2007, Super Crunchers. Why Thinking-By-Numbers is the New
Way to be Smart. Bantam.
[This places data mining in a wider context of data-based
decision-making in business, government and consumer affairs. While
popular in style and short on analysis detail, it offers a useful
overview of ways in which applications of data mining and related
analytical techniques are developing and changing, in part because of
the new opportunities and challenges of the internet.]
Thomas H. Davenport and Jeanne G. Harris 2007, Competing on
Analytics: The New Science of Winning. Harvard Business School
Press. [Analytics is a buzzword for the application of data
mining type approaches in commerce. Davenport and Thomas give a
useful overview of issues for the deployment of analytical techniques
within organizations - benefits and traps, choice of amenable tasks,
the role of management, skill base issues, etc.]
John Maindonald and John Braun 2007, Data Analysis and Graphics Using R - An Example-Based Approach, 2nd edn Cambridge University Press.
[Of greatest relevance to the course are Chapter 2
on Styles of Data Analysis, Chapters 5 & 6 (through to 6.3) on Linear Models,
Chapter 8 (through to 8.3) on logistic regression, Chapter 11 on Tree-based
Methods, and Chapter 12 (through to 12.2) on Multivariate Data Exploration &
Discrimination.]