Rough set based categorical
Küçük Resim Yok
Tarih
2007
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
INT ASSOC ENGINEERS-IAENG
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
One of the most studied fields in data mining is association rules field and studied on this field more than database communications recently. In existed methods of association rules discovery, studying of objects as an only one category provides deficiency of algorithms which provide finding of categorical associations. Online text documents on internet provide adequate information sources. In this paper, meaningful and important information from text documents on internet have been tried to discover. Firstly, a preprocessing is applied to these data to reduce data with noisy and after that only adequate data are saved to database to use. In the study, relations are discovered based on person-place-event-date categories. In this paper, it is investigated to how the categorical association rules can be discovered using rough sets and presented as an application.
Açıklama
International Multiconference of Engineers and Computer Scientists -- MAR 21-23, 2007 -- Kowloon, PEOPLES R CHINA
Anahtar Kelimeler
categorical association rule, rough set theory, associations, data mining, web database
Kaynak
IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II
WoS Q Değeri
N/A
