Abstract: A system and software for identifying the change of user behavior on a website includes analyzing the actions of users on a website comprising a plurality of fields or input parameters that identify the actions performed on a website including fields related to previous actions by that user or other users of the website. The fields or input parameters are represented in a vector format where vectors represent different sessions of activity on the website, pages of the website, users of the website, or other attributes of the use of a website. Analysis is performed to determine if new sessions are similar or dissimilar to previously known sessions and if a session is converging or diverging from known sessions based on the velocity and direction of the velocity of the vectors in the vector space.

Abstract: A system and method for identifying the change of user behavior on a website includes analyzing the actions of users on a website comprising a plurality of parameters or parameters that identify the actions performed on a website including parameters or fields related to previous actions by that user or other users of the website. The parameters or fields are represented in a vector format where each vector represents a different session of activity on the website, page of the website, user of the website, or other attribute of the use of a website. Analysis is performed to determine if new sessions are similar or dissimilar to previously known sessions.