Please use this identifier to cite or link to this item:

TitleStructured textual data monitoring based on a rough set classifier
Author(s)Magalhães, Paulo Sérgio Tenreiro
Santos, Leonel Duarte dos
Amaral, Luis
Santos, Henrique
Revett, Kenneth
Jahankhani, Hamid
KeywordsData surveillance
Rough sets
Structured data analysis
Issue date2008
Abstract(s)Text is frequently stored in structures that are frequently complex and sometimes too large to be fully understood and/or apprehended. This problem has concerned the data mining community for many years as well as the information's community. Many algorithms have been proposed with the objective of obtaining better answers to the queries made and to obtain better queries that can respond to the questions that are in the users mind. Some of those algorithms are based on the relations between the concepts. But some of those relations are also dynamic and are, themselves, relevant information. This paper describes and adaptation of one of those methods, based on the Rough Sets theory, in order to detect changes in the existing relations between the stored concepts and, through that, to detect new relevant aspects of the data.
TypeConference paper
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

Files in This Item:
File Description SizeFormat 
Pub 05 99.pdf792,92 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID