Title :
A Knowledge Acquisition Method for Missing Data
Author :
Wang, Hai ; Shouhong
Author_Institution :
Sobey Sch. of Bus., St. Mary´´s Univ., Halifax, NS
Abstract :
Survey data provide rich source of knowledge. However, a survey database normally contains missing data. This paper proposes a rough set based unconventional knowledge discovery method to explore missing data. It presents an experiment on a student teaching evaluation database.
Keywords :
computer aided instruction; database management systems; knowledge acquisition; rough set theory; teaching; knowledge acquisition method; missing data; rough set; student teaching evaluation database; survey database; unconventional knowledge discovery method; Association rules; Data privacy; Databases; Education; Educational institutions; Filters; Knowledge acquisition; Prototypes; Set theory; Statistical distributions; Knowledge Acquisition; data mining; knowledge management for education; missing data; rough set;
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
DOI :
10.1109/KAM.2008.177
