Ulker, E.Siramkaya, E.Arslan, A.2020-03-262020-03-262007978-988-98671-4-02078-0958https://hdl.handle.net/20.500.12395/21594International Multiconference of Engineers and Computer Scientists -- MAR 21-23, 2007 -- Kowloon, PEOPLES R CHINAOne 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.eninfo:eu-repo/semantics/closedAccesscategorical association rulerough set theoryassociationsdata miningweb databaseConference Object1032+WOS:000246800600196N/A