Knowledge discovery from legal databases
Author(s)
Bibliographic Information
Knowledge discovery from legal databases
(Law and philosophy library, v.69)
Springer, c2005
Available at 6 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. 227-254) and index
Description and Table of Contents
Description
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.
Table of Contents
Acknowledgements.- Preface.- 1. Introduction.- 2. Legal Issues In The Data Selection Phase.- 3. Legal Issues In The Data Pre-Processing Phase.- 4. Legal Issues In The Data Transformation Phase.- 5. Data Mining With Rule Induction.- 6. Uncertain And Statistical Data Mining.- 7. Data Mining Using Neural Networks.- 8. Information Retrieval And Text Mining.- 9. Evaluation, Deployment And Related Issues.- 10. Conclusion.- 11. Bibliography.- 12. Glossary.- 13. Index
by "Nielsen BookData"