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.
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