Using Semantic Web Technologies for Explaining and Predicting Abnormal Expenses
نویسندگان
چکیده
Travel expenses represent up to 7% of organisations overall budget. Existing expenses systems are designed for reporting expenses types and amount, but not for understanding how to save and spend. We present a system, manipulating semantic web technologies, which aims at identifying, explaining, predicting abnormal expense claims by employees of large organisations in 500+ cities.
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