Knowledge Discovery from Legal Databases PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Knowledge Discovery from Legal Databases PDF full book. Access full book title Knowledge Discovery from Legal Databases by Andrew Stranieri. Download full books in PDF and EPUB format.
Author: Andrew Stranieri Publisher: Springer Science & Business Media ISBN: 1402030371 Category : Computers Languages : en Pages : 307
Book 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.
Author: Andrew Stranieri Publisher: Springer Science & Business Media ISBN: 1402030371 Category : Computers Languages : en Pages : 307
Book 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.
Author: Xiaoling Shu Publisher: University of California Press ISBN: 0520339991 Category : Social Science Languages : en Pages : 263
Book Description
Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries
Author: Jean-Francois Boulicaut Publisher: Springer Science & Business Media ISBN: 3540231080 Category : Computers Languages : en Pages : 578
Book Description
This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 194 papers submitted to PKDD and 107 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.
Author: Xindong Wu Publisher: Springer ISBN: 3540697683 Category : Computers Languages : en Pages : 440
Book Description
This book constitutes the refereed proceedings of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-98, held in Melbourne, Australia, in April 1998. The book presents 30 revised full papers selected from a total of 110 submissions; also included are 20 poster presentations. The papers contribute new results to all current aspects in knowledge discovery and data mining on the research level as well as on the level of systems development. Among the areas covered are machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software reengineering, and knowledge based systems.
Author: Kweku-Muata Osei-Bryson Publisher: CRC Press ISBN: 1482212382 Category : Business & Economics Languages : en Pages : 404
Book Description
Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to id
Author: G. Peruginelli Publisher: IOS Press ISBN: 1614999856 Category : Computers Languages : en Pages : 306
Book Description
The changes brought about by digital technology and the consequent explosion of information known as Big Data have brought opportunities and challenges in all areas of society, and the law is no exception. This book, Knowledge of the Law in the Big Data Age contains a selection of the papers presented at the conference ‘Law via the Internet 2018’, held in Florence, Italy, on 11-12 October 2018. This annual conference of the ‘Free Access to Law Movement’ (http://www.fatlm.org) hosted more than 60 international speakers from universities, government and research bodies as well as EU institutions. Topics covered range from free access to law and Big Data and data analytics in the legal domain, to policy issues concerning access, publishing and the dissemination of legal information, tools to support democratic participation and opportunities for digital democracy. The book is divided into 3 sections: Part I provides an introductory background, covering aspects such as the evolution of legal science and models for representing the law; Part II addresses the present and future of access to law and to various legal information sources; and Part III covers updates in projects, initiatives, and concrete achievements in the field. The book provides an overview of the practical implementation of legal information systems and the tools to manage this special kind of information, as well as some of the critical issues which must be faced, and will be of interest to all those working at the intersection of law and technology.
Author: Andrew Stranieri
Author: Andrew Stranieri
Author: Xiaoling Shu
Author: Chakarida Nukoolkit
Author: Debashis Rana
Author: M. E. Müller
Author: Jean-Francois Boulicaut
Author: Martin Scholz
Author: Xindong Wu
Author: Kweku-Muata Osei-Bryson
Author: G. Peruginelli