公开(公告)号：US10884891B2

公开(公告)日：2021-01-05

申请号：US15325847

申请日：2014-12-11

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Morad Awad ,  Gil Elgrably ,  Mani Fischer ,  Renato Keshet ,  Mike Krohn ,  Alina Maor ,  Ron Maurer ,  Igor Nor ,  Olga Shain ,  Doron Shaked

IPC: G06F17/00 ,  G06F11/34 ,  G06F17/18 ,  G06F17/40 ,  G06K9/00 ,  G06K9/62 ,  G06F11/30 ,  G06F16/2455 ,  G06F3/0484

Abstract: Interactive detection of system anomalies is disclosed. One example is a system including a data processor, an anomaly processor, and an interaction processor. Input data related to a series of events and telemetry measurements is received by the data processor. The anomaly processor detects presence of a system anomaly in the input data, the system anomaly indicative of a rare situation that is distant from a norm of a distribution based on the series of events and telemetry measurements. The interaction processor is communicatively linked to the anomaly processor and to an interactive graphical user interface. The interaction processor displays, via the interactive graphical user interface, an output data stream based on the presence of the system anomaly, receives, from the interactive graphical user interface, feedback data associated with the output data stream, and provides the feedback data to the anomaly processor for operations analytics based on the feedback data.

公开(公告)号：US20170154107A1

公开(公告)日：2017-06-01

申请号：US15325807

申请日：2014-12-11

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Morad Awad ,  Gil Elgrably ,  Mani Fischer ,  Renato Keshet ,  Mike Krohn ,  Alina Maor ,  Ron Maurer ,  Igor Nor ,  Olga Shain ,  Doron Shaked

IPC: G06F17/30

CPC classification number: G06F16/345 ,  G06F16/35 ,  G06F16/36

Abstract: Determining term scores based on a modified inverse domain frequency is disclosed. One example is a system including a data processing engine, an evaluator, and a data analytics module. The data processing engine identifies a key term associated with a system, and a sub-plurality of a plurality of documents, the sub-plurality of documents associated with the event. The evaluator determines, based on the presence or absence of the key term, a first distribution related to the sub-plurality of documents, and a second distribution related to the plurality of documents, and evaluates, for the key term, a term score based on the first distribution and the second distribution, the term score indicative of a modified inverse domain frequency based on the sub-plurality of documents. The data analytics module includes the key term in a word cloud when the term score for the key term satisfies a threshold.

公开(公告)号：US20170199940A1

公开(公告)日：2017-07-13

申请号：US15325957

申请日：2014-10-30

Applicant: Inbal TADESKI ,  Hadas KOGAN ,  Eli HAYOON ,  Eyal HAYUN ,  Doron SHAKED ,  Gil ELGRABLY ,  Olga SHAIN ,  HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Inbal Tadeski ,  Hadas Kogan ,  Eli Hayoon ,  Eyal Hayun ,  Doron Shaked ,  Gil Elgrably ,  Olga Shain

IPC: G06F17/30 ,  G06F17/22 ,  G06F3/0482

CPC classification number: G06F16/9024 ,  G06F3/0482 ,  G06F16/24578 ,  G06F16/904 ,  G06F17/2235 ,  G06F17/2247 ,  G06F17/2264

Abstract: Data entries can include values for each of a number of features that each have a number of permissible or possible values. The features and the permissible values thereof are ranked based on a graph constructed from the features and the permissible values. The data entries can include textual data for free-text features that do not have permissible values or possible values, and new features created based on information extracted from the textual data, where nodes and edges are added to the graph from these new features. Graphical elements corresponding to the features and graphical representations based on frequencies of the permissible values of the features can be displayed.

公开(公告)号：US20170192872A1

公开(公告)日：2017-07-06

申请号：US15325847

申请日：2014-12-11

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Morad Awad ,  Gil Elgrably ,  Mani Fischer ,  Renato Keshet ,  Mike Krohn ,  Alina Maor ,  Ron Maurer ,  Igor Nor ,  Olga Shain ,  Doron Shaked

IPC: G06F11/34 ,  G06F17/18

CPC classification number: G06F11/3476 ,  G06F3/04842 ,  G06F11/3072 ,  G06F11/3452 ,  G06F16/24568 ,  G06F17/18 ,  G06F17/40 ,  G06F2201/86 ,  G06K9/00543 ,  G06K9/6284

Abstract: Interactive detection of system anomalies is disclosed. One example is a system including a data processor, an anomaly processor, and an interaction processor. Input data related to a series of events and telemetry measurements is received by the data processor. The anomaly processor detects presence of a system anomaly in the input data, the system anomaly indicative of a rare situation that is distant from a norm of a distribution based on the series of events and telemetry measurements. The interaction processor is communicatively linked to the anomaly processor and to an interactive graphical user interface. The interaction processor displays, via the interactive graphical user interface, an output data stream based on the presence of the system anomaly, receives, from the interactive graphical user interface, feedback data associated with the output data stream, and provides the feedback data to the anomaly processor for operations analytics based on the feedback data.