Knowledge Discovery from Legal Databases

• Main Authors: Stranieri, Andrew (Author), Zeleznikow, John (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2005.
• Series: Law and Philosophy Library, 69
• Subjects: Computer science.; Artificial intelligence.; Law > Philosophy.; Law.; Computer Science.; Artificial Intelligence (incl. Robotics).; Theories of Law, Philosophy of Law, Legal History.

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...

Table of Contents:

• 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.