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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.
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公开(公告)号:US10341103B2
公开(公告)日:2019-07-02
申请号:US15325800
申请日:2015-01-29
Applicant: Hewlett Packard Enterprise Development LP
Inventor: Doron Shaked , Omer Barkol
Abstract: Data analytics on encrypted data elements is disclosed. One example is a system including a first data system, a second data system, and a data analytics system. The first data system includes a first data element and a first encryption module with a first private key. The second data system includes a plurality of second data elements and a second encryption module with a second private key. The first encryption module and the second encryption module are communicatively linked to one another, to apply, via the first and second private keys, an encryption protocol to the first data element and the plurality of second data elements to encrypt the data elements. The data analytics system maps the encrypted data elements to an analytics space, performs data analytics based on the mapped data elements, and distributes, via a computing device, results of the data analytics to an information retrieval system.
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公开(公告)号:US20180091359A1
公开(公告)日:2018-03-29
申请号:US15280940
申请日:2016-09-29
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Gal Alon , Doron Shaked , Igor Giller , Marina Lyan , Ron Maurer , Noam Fraenkel , Igor Nor , Yair Horovitz
IPC: H04L12/24
CPC classification number: H04L41/069 , G06F3/04182 , H04L41/12
Abstract: In some examples, a first pair of parameters in respective first and second log message streams associated with respective first and second source components and a second pair of parameters in the respective first and second log message streams may be identified. The first pair may be identical and the second pair may be identical. It may be determined that first pair of parameters was simultaneously generated and that the second pair of parameters was simultaneously generated in the first and in the second log message streams. A linkage score may be determined between the first and the second source components. The linkage score may be based on the determination that each of the respective first and the second pairs of parameters was simultaneously generated. It may be determined that that the first and second source components are topologically linked based on the linkage score.
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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.
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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.
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公开(公告)号:US10530640B2
公开(公告)日:2020-01-07
申请号:US15280940
申请日:2016-09-29
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor: Gal Alon , Doron Shaked , Igor Giller , Marina Lyan , Ron Maurer , Noam Fraenkel , Igor Nor , Yair Horovitz
Abstract: In some examples, a first pair of parameters in respective first and second log message streams associated with respective first and second source components and a second pair of parameters in the respective first and second log message streams may be identified. The first pair may be identical and the second pair may be identical. It may be determined that first pair of parameters was simultaneously generated and that the second pair of parameters was simultaneously generated in the first and in the second log message streams. A linkage score may be determined between the first and the second source components. The linkage score may be based on the determination that each of the respective first and the second pairs of parameters was simultaneously generated. It may be determined that that the first and second source components are topologically linked based on the linkage score.
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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
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.
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