1. A process for determining statistically-outlying data points present in at least one dataset, comprising: a) receiving the at least one dataset; b) determining at least one interval associated with the dataset; c) using a hardware processing arrangement which comprises a processor, determining a plurality of subintervals of the at least one interval by iteratively dividing at least one of the at least one interval more than once until at least one predetermined criteria is met; and d) determining the statistically-outlying data points present in the at least one dataset, wherein each data point is associated with a particular subinterval of the subintervals, and wherein the determination is performed based on information related to the subintervals and as a function of the length of the particular subinterval of the subintervals associated with the particular data point.