公开(公告)号：US12131265B2

公开(公告)日：2024-10-29

申请号：US17977240

申请日：2022-10-31

申请人： eBay Inc.

发明人： Hanzhang Wang ,  Phuong Nguyen

IPC分类号： G06N5/04 ,  G06F16/901 ,  G06N20/00

CPC分类号： G06N5/04 ,  G06F16/9024 ,  G06N20/00

摘要： Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

公开(公告)号：US11768755B2

公开(公告)日：2023-09-26

申请号：US17209633

申请日：2021-03-23

申请人： eBay Inc.

发明人： Hanzhang Wang ,  Huai Jiang ,  Liangfei Su ,  Selcuk Kopru ,  Sanjeev Katariya ,  Wanxue Li

IPC分类号： G06F11/00 ,  G06F11/34 ,  G06N20/00 ,  G06F11/07 ,  G06F11/32

CPC分类号： G06F11/3476 ,  G06F11/0772 ,  G06F11/323 ,  G06F11/3409 ,  G06N20/00

摘要： Process flow graphs are generated from system trace data by obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

公开(公告)号：US11531908B2

公开(公告)日：2022-12-20

申请号：US16351453

申请日：2019-03-12

申请人： eBay Inc.

发明人： Hanzhang Wang ,  Phuong Viet Nguyen

IPC分类号： G06N5/04 ,  G06F16/901 ,  G06N20/00

摘要： Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

公开(公告)号：US20230048212A1

公开(公告)日：2023-02-16

申请号：US17977240

申请日：2022-10-31

申请人： eBay Inc.

发明人： Hanzhang Wang ,  Phuong Nguyen

IPC分类号： G06N5/04 ,  G06F16/901 ,  G06N20/00

摘要： Technologies are disclosed herein for enhancing machine learning (“ML”) -based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

公开(公告)号：US20200301972A1

公开(公告)日：2020-09-24

申请号：US16360417

申请日：2019-03-21

申请人： eBay Inc.

发明人： Hanzhang Wang ,  Vinay Phegade

IPC分类号： G06F16/901 ,  G06N20/10

摘要： Described are computing systems and methods as well as computer program products for enhancing the detection of abnormal online user behavior by incorporating time-series data of behavior-based user clusters into an entity graph for purposes of entity resolution. In various embodiments, graph analysis performed on a graph that includes nodes representing users, user attributes, and user clusters serves to determine groups of similar user entities, which may then be merged and/or further analyzed to detect abnormal behavior.