AUTOMATIC DETECTION OF SIMILAR BUSINESS UPDATES BY USING SIMILARITY TO PAST REJECTED UPDATES

A system and method are provided that detect spam business listing data. In one aspect, a plurality of clusters containing previously captured spam business data is formed. The attributes of new incoming business data may be compared to the attributes of the clustered spam business data. If the incoming business data is associated with any one of the plurality of clusters, the incoming business data may be deemed spam.