In many cases, outliers are more important than the normal data, as they may demonstrate either deviant behavior, or the beginning of a new pattern, they may be cause damage to user. Outlier detection has become an important branch of data mining. In this paper, a new generalized method measuring the difference of two objects with mixed attributes is presented, and the weighted power mean is introduced to data mining. Based on these, a new outlier detection approach based on the nearest neighborhood is proposed. The approach measures outlier degree of an object by generalized local outlier fac...
