Generalized discrimination discovery on semi-structured data supported by ontology

Binh Luong Thanh
Recently, data mining has been deemed to be an effective means for disclosing evidences and hidden causes of discrimination. If data mining succeeds in finding associations proving the fact that discriminatory treatments has strong relations with sensitive attributes, discrimination is obviously irrefutable. In this thesis, I propose a modified approach of the traditional data mining process to unveil and represent discrimination in a “rich semantic” form for semi-structured business data with multiple-valued treatments based on...