Knowledge Discovery from Legal Databases

By: Andrew Stranieri, John Zeleznikow

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Hardcover | 1 June 2005

At a Glance

Hardcover
312 Pages

Dimensions(cm)
25.4 x 17.78 x 1.91

Hardcover

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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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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Information Retrieval Computer Science Artificial Intelligence History Law Jurisprudence & General Issues Legal Skills & Practice Education Teaching of a Specific Subject

Acknowledgements
Preface
Introduction
Legal Issues In The Data Selection Phase
Legal Issues In The Data Pre-Processing Phase
Legal Issues In The Data Transformation Phase
Data Mining With Rule Induction
Uncertain And Statistical Data Mining
Data Mining Using Neural Networks
Information Retrieval And Text Mining
Evaluation, Deployment And Related Issues
Conclusion
Bibliography
Glossary
Index
Table of Contents provided by Publisher. All Rights Reserved.

Knowledge Discovery from Legal Databases

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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