DocumentCode :
2230494
Title :
Text Mining and Expert Systems Applied in Labor Laws
Author :
Ticom, A.A.M. ; de Souza, B. ; de Lima, L.P.
Author_Institution :
UFRJ Cidade Universit., Rio de Janeiro
fYear :
2007
fDate :
20-24 Oct. 2007
Firstpage :
788
Lastpage :
792
Abstract :
Based on the technological evolution of data processing, mainly the capacity of processing and storage, a new research field has emerged, called Knowledge Discovery in Database (KDD). Data mining (DM) is the essential and important step in the process of KDD with the goal of extracting high-level knowledge from low-level data. Unstructured DM or Text Mining is an essential part of discovering previously unknown patterns useful for particular purposes from textual data bases. The objective of this paper is to present a Labor- related Judicial application of Unstructured Data Mining techniques using probabilistic methodologies, linear regression and Rule Induction in Text Categorization, as well as an Expert System.
Keywords :
data mining; law administration; regression analysis; text analysis; data processing; expert systems; high-level knowledge extraction; knowledge discovery in database; labor laws; labor-related Judicial application; linear regression; low-level data; probabilistic methodologies; rule induction; technological evolution; text categorization; text mining; textual databases; unstructured data mining; Data mining; Data processing; Deductive databases; Delta modulation; Employment law; Expert systems; Intelligent systems; Linear regression; Text categorization; Text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
Type :
conf
DOI :
10.1109/ISDA.2007.32
Filename :
4389704
Link To Document :
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