公开(公告)号：US20180329795A1

公开(公告)日：2018-11-15

申请号：US15770951

申请日：2015-10-29

Applicant: ENTIT SOFTWARE LLC

Inventor： Christopher Byrd

IPC: G06F11/34 ,  G06F9/451 ,  G06K9/62

CPC classification number: G06F11/3438 ,  G06F3/048 ,  G06F9/44 ,  G06F9/451 ,  G06F11/30 ,  G06F11/3409 ,  G06F2201/87 ,  G06F2201/875 ,  G06K9/6269 ,  G06N99/005

Abstract: Back end calls triggered by a user interaction with a client user interface may be identified. The user interaction may be correlated with a logic flow, and the logic flow may be associated with the back end calls. A supervised learning model may be trained using a labeled data set comprising the back end calls and their associated logic flow. Rules may be derived from the supervised learning model for classifying other back end calls. The rules may be outputted to a classifier that utilizes the rules to associate the other back end calls with the logic flow.

公开(公告)号：US11550688B2

公开(公告)日：2023-01-10

申请号：US15770951

申请日：2015-10-29

Applicant: ENTIT SOFTWARE LLC

Inventor： Christopher Byrd

IPC: G06F11/34 ,  G06F9/44 ,  G06F11/30 ,  G06F3/048 ,  G06N20/00 ,  G06N5/04 ,  G06N5/02 ,  G06F9/451 ,  G06K9/62 ,  G06N3/00

Abstract: Back end calls triggered by a user interaction with a client user interface may be identified. The user interaction may be correlated with a logic flow, and the logic flow may be associated with the back end calls. A supervised learning model may be trained using a labeled data set comprising the back end calls and their associated logic flow. Rules may be derived from the supervised learning model for classifying other back end calls. The rules may be outputted to a classifier that utilizes the rules to associate the other back end calls with the logic flow.

公开(公告)号：US11423053B2

公开(公告)日：2022-08-23

申请号：US16071767

申请日：2016-01-30

Applicant: ENTIT SOFTWARE LLC

Inventor： Christopher Byrd

IPC: G06F16/28 ,  G06F17/40 ,  G06F11/34 ,  G06F16/23

Abstract: A log event cluster analytics management method may involve storing a first portion of an entire cluster dictionary in a transient memory, storing at least a second portion of the entire cluster dictionary in a persistent database and comparing a new log event message to the first portion of the overall cluster dictionary. In response to not assigning the new log event message to any cluster in the first portion of the entire cluster dictionary in the transient memory, selecting a subset of clusters of the at least second portion of the cluster dictionary in the persistent database, comparing the new log event message to a cluster of the selected subset of clusters and assigning the new log event message to the cluster of the selected subset of clusters based upon the comparison.