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The windowChecking option allows the operator, to use a window and check, if there is at least one anomaly in that window. If the data stream has anomal phases where some tuple may are "normal", these "normal" tuples can be marked as anomalies if they are between two windows which have both at least one anomaly. The figure below explains that behavior. The squares are tuples, each tuple is in exactly one window (a tumbling window is used). The tuples with a 0 are normal tuples, the tuples with a 10 are anomal tuples. With the option "windowChecking = true" the tuples between those two anomalies are also marked as anomalies and are therefore in the output stream.
