OPAC

Knowledge Discovery from Legal Databases / by Andrew Stranieri, John Zeleznikow
(Law and Philosophy Library. ISSN:22150315 ; 69)

データ種別	電子ブック
版	1st ed. 2005.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	2005
大きさ	XII, 298 p : online resource
著者標目	*Stranieri, Andrew author Zeleznikow, John author SpringerLink (Online service)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0003480	Computer Scinece R0 2005-6,2022-3				9781402030376

一般注記	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 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 HTTP:URL=https://doi.org/10.1007/1-4020-3037-1
件　名	LCSH:Artificial intelligence LCSH:Law—Philosophy LCSH:Law—History FREE:Artificial Intelligence FREE:Theories of Law, Philosophy of Law, Legal History
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00002868
ISBN	9781402030376