Rough set based categorical association rule mining in web database
Küçük Resim Yok
Tarih
2007
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
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
IAENG Society of Artificial Intelligence;IAENG Society of Bioinformatics;IAENG Society of Computer Science;IAENG Society of Data Mining;IAENG Society of Electrical Engineering
International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 -- 21 March 2007 through 23 March 2007 -- Kowloon -- 100960
International MultiConference of Engineers and Computer Scientists 2007, IMECS 2007 -- 21 March 2007 through 23 March 2007 -- Kowloon -- 100960
Anahtar Kelimeler
Associations, Categorical association rule, Data mining, Rough set theory, Web database
Kaynak
Lecture Notes in Engineering and Computer Science
WoS Q Değeri
Scopus Q Değeri
N/A
