Knowledge Discovery from Legal Databases is the first text to
describe data mining techniques as they apply to law. Law students,
legal academics and applied information technology specialists are
guided thorough all phases of the knowledge discovery from databases
process with clear explanations of numerous data mining algorithms
including rule induction, neural networks and association rules.
Throughout the text, assumptions that make data mining in law quite
different to mining other data are made explicit. Issues such as the
selection of commonplace cases, the use of discretion as a form of open
texture, transformation using argumentation concepts and evaluation and
deployment approaches are discussed at length.