公开(公告)号：USD1046914S1

公开(公告)日：2024-10-15

申请号：US29858423

申请日：2022-10-31

Applicant: SPLUNK Inc.

Designer： Iryna Vogler-Ivashchanka ,  Mei Chun Yeh ,  Tatsuya Hama

Abstract: The FIGURE is a display screen or portion thereof with a graphical user interface for a visualization of a system input status, showing our new design.
The broken lines represent a display screen or portion thereof and form no part of the claimed design. The remaining broken lines show portions of a graphical user interface for a visualization of a system input status and form no part of the claimed design.

公开(公告)号：USD1045904S1

公开(公告)日：2024-10-08

申请号：US29858420

申请日：2022-10-31

Applicant: SPLUNK Inc.

Designer： Iryna Vogler-Ivashchanka ,  Mei Chun Yeh ,  Tatsuya Hama

Abstract: The FIGURE is a display screen or portion thereof with a graphical user interface for a visualization of data management, showing our new design.
The surrounding rectangular box of broken lines shows a display screen or portion thereof and forms no part of the claimed design.

公开(公告)号：US11615101B2

公开(公告)日：2023-03-28

申请号：US16779479

申请日：2020-01-31

Applicant: Splunk Inc.

Inventor： Ram Sriharsha ,  Kristal Lyn Curtis ,  Iryna Vogler-Ivashchanka ,  Clark Eugene Mullen

IPC: G06F16/2458 ,  G06F16/28 ,  G06F16/23 ,  G06N20/20 ,  G06F9/38 ,  G06F9/54 ,  G06K9/62 ,  G06F16/2455 ,  G06F16/14 ,  G06F16/22 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/16 ,  G06F17/16 ,  G06F17/18 ,  G06F16/242

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

公开(公告)号：US20190236210A1

公开(公告)日：2019-08-01

申请号：US15884090

申请日：2018-01-30

Applicant: SPLUNK INC.

Inventor： Iman Makaremi ,  Gyanendra Rana ,  Iryna Vogler-Ivashchanka ,  Adam Oliner ,  Harsh Keswani ,  Manish Sainani ,  Alexander Kim

IPC: G06F17/30 ,  G06F17/27 ,  H04L29/06 ,  H04L29/08 ,  H04L12/24

Abstract: Operational machine components of an information technology (IT) or other microprocessor- or microcontroller-permeated environment generate disparate forms of machine data. Network connections are established between these components and processors of an automatic data intake and query system (DIQS). The DIQS conducts network transactions on a periodic and/or continuous basis with the machine components to receive the disparate data and ingest certain of the data as measurement entries of a DIQS metrics datastore that is searchable for DIQS query processing. The DIQS may receive search queries to process against the received and ingested data via an exposed network interface. In one example embodiment, a query building component conducts a user interface using a network attached client device. The query building component may elicit search criteria via the user interface using a natural language interface, construct a proper query therefrom, and present new information based on results returned from the DIQS.

公开(公告)号：US20190034767A1

公开(公告)日：2019-01-31

申请号：US15665224

申请日：2017-07-31

Applicant: Splunk Inc.

Inventor： Manish Sainani ,  Sergey Slepian ,  Di Lu ,  Adam Oliner ,  Jacob Leverich ,  Iryna Vogler-Ivashchanka ,  Iman Makaremi

IPC: G06K9/62 ,  G06F17/30 ,  G06K9/00 ,  G06N99/00

CPC classification number: G06K9/6289 ,  G06F9/455 ,  G06F16/2465 ,  G06F2216/03 ,  G06K9/00067 ,  G06K9/00979 ,  G06K9/6253 ,  G06K9/6262 ,  G06N5/025 ,  G06N20/00

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

公开(公告)号：USD1054444S1

公开(公告)日：2024-12-17

申请号：US29879934

申请日：2023-07-14

Applicant: SPLUNK Inc.

Designer： Tatsuya Hama ,  Clark E Mullen ,  Ioan Popa ,  Iryna Vogler-Ivashchanka

公开(公告)号：US12164565B2

公开(公告)日：2024-12-10

申请号：US18190519

申请日：2023-03-27

Applicant: Splunk Inc.

Inventor： Ram Sriharsha ,  Kristal Lyn Curtis ,  Iryna Vogler-Ivashchanka ,  Clark Eugene Mullen

IPC: G06F16/23 ,  G06F9/38 ,  G06F9/54 ,  G06F16/14 ,  G06F16/16 ,  G06F16/22 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/2455 ,  G06F16/2458 ,  G06F16/28 ,  G06F16/901 ,  G06F17/16 ,  G06F17/18 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G06N20/20

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

公开(公告)号：USD1046892S1

公开(公告)日：2024-10-15

申请号：US29858421

申请日：2022-10-31

Applicant: SPLUNK Inc.

Designer： Iryna Vogler-Ivashchanka ,  Mei Chun Yeh ,  Tatsuya Hama

Abstract: The FIGURE is a display screen or portion thereof with a graphical user interface for a setup process in a data management application, showing our new design.
The broken lines represent a display screen or portion thereof and form no part of the claimed design. The remaining broken lines show portions of a graphical user interface for a setup process in a data management application and form no part of the claimed design.

公开(公告)号：US11514278B2

公开(公告)日：2022-11-29

申请号：US17029365

申请日：2020-09-23

Applicant: SPLUNK INC.

Inventor： Manish Sainani ,  Sergey Slepian ,  Di Lu ,  Adam Oliner ,  Jacob Leverich ,  Iryna Vogler-Ivashchanka ,  Iman Makaremi

IPC: G06F7/00 ,  G06K9/62 ,  G06N20/00 ,  G06F16/2458 ,  G06N5/02 ,  G06V10/94 ,  G06V40/12 ,  G06F9/455

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

公开(公告)号：US20210117416A1

公开(公告)日：2021-04-22

申请号：US16779479

申请日：2020-01-31

Applicant: Splunk Inc.

Inventor： Ram Sriharsha ,  Kristal Lyn Curtis ,  Iryna Vogler-Ivashchanka ,  Clark Eugene Mullen

IPC: G06F16/2458 ,  G06F16/23 ,  G06F16/28

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.