Knowledge Discovery from Legal Databases

  • Andrew Stranieri
  • John Zeleznikow

Part of the Law and Philosophy Library book series (LAPS, volume 69)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Andrew Stranieri, John Zeleznikow
    Pages 1-13
  3. Andrew Stranieri, John Zeleznikow
    Pages 15-45
  4. Andrew Stranieri, John Zeleznikow
    Pages 47-58
  5. Andrew Stranieri, John Zeleznikow
    Pages 59-82
  6. Andrew Stranieri, John Zeleznikow
    Pages 83-98
  7. Andrew Stranieri, John Zeleznikow
    Pages 99-128
  8. Andrew Stranieri, John Zeleznikow
    Pages 129-146
  9. Andrew Stranieri, John Zeleznikow
    Pages 147-169
  10. Andrew Stranieri, John Zeleznikow
    Pages 171-210
  11. Andrew Stranieri, John Zeleznikow
    Pages 211-226
  12. Back Matter
    Pages 227-298

About this book

Introduction

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.

Keywords

argumentation data mining knowledge knowledge discovery law neural networks

Authors and affiliations

  • Andrew Stranieri
    • 1
  • John Zeleznikow
    • 2
  1. 1.University of BallaratBallaratAustralia
  2. 2.Victoria UniversityMelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/1-4020-3037-1
  • Copyright Information Springer Science+Business Media B.V. 2005
  • Publisher Name Springer, Dordrecht
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-1-4020-3036-9
  • Online ISBN 978-1-4020-3037-6
  • Series Print ISSN 1572-4395
  • Series Online ISSN 2215-0315
  • About this book