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Knowledge Discovery from Legal Databases (Law and Philosophy Library, 69, Band 69) - Hardcover

Stranieri, Andrew; Zeleznikow, John

 
9781402030369: Knowledge Discovery from Legal Databases (Law and Philosophy Library, 69, Band 69)
Hardcover
ISBN 10: 1402030363 ISBN 13: 9781402030369
Verlag: Springer, 2005

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Elisabeth Wilson-Evered is an accomplished researcher, educator, project manager, clinician and consultant in psychology, leadership, change management and innovation. She is currently Professor in the Institute of Health and Sport and has key roles advising and leading research transformation and organizational improvement initiatives. She has led many research and development projects in health including implementing new technologies and managing mergers. She is involved in large scale sophisticated research projects to improve health and wellbeing. She has a substantial publication record and is recognized for her strong engagement and collaboration skills as well as supporting others to grow and develop.John Zeleznikow is a Professor of Law and Technology at La Trobe University. Previously he was the Director of the Joseph Bell Centre for Forensic Statistics and Legal Reasoning at University of Edinburgh Law School. He pioneered the use of machine learning in Law and Online Dispute Resolution. He has conducted research and taught in Australian, US, French, Dutch, Israeli, Belgian, German, UK and Polish universities for forty-eight years. He is the author of four research monographs and ninety-five refereed journal articles.

Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2005
Sprache
Englisch
ISBN 10 
1402030363
ISBN 13 
9781402030369
Einband
Gebundene Ausgabe
Anzahl der Seiten
310
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