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dc.contributor.author Zuev D.
dc.contributor.author Marchenko A.
dc.contributor.author Khasiannov A.
dc.date.accessioned 2018-04-05T07:09:55Z
dc.date.available 2018-04-05T07:09:55Z
dc.date.issued 2017
dc.identifier.issn 1613-0073
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130060
dc.description.abstract We present the architecture of the system for the intellectual textual analysis in jurisprudence based on microservices. The system can identify common dependencies on an existing database of legal documents, provide legal cases close to each other, familiarize them with the most probable outcomes of judicial review or mark out important places during procedural actions.
dc.relation.ispartofseries CEUR Workshop Proceedings
dc.subject Analytics and data management
dc.subject Clustering
dc.subject Data intensive domains
dc.subject Digital libraries
dc.subject Microservices
dc.subject Recommender system
dc.title Text mining tools in legal documents
dc.type Conference Paper
dc.relation.ispartofseries-volume 2022
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 214
dc.source.id SCOPUS16130073-2017-2022-SID85040673542


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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