Patents by Inventor Iman MAKAREMI
Iman MAKAREMI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11960575Abstract: 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.Type: GrantFiled: October 27, 2022Date of Patent: April 16, 2024Assignee: Splunk Inc.Inventors: Manish Sainani, Sergey Slepian, Di Lu, Adam Oliner, Jacob Leverich, Iryna Vogler-Ivashchanka, Iman Makaremi
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Patent number: 11921799Abstract: 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.Type: GrantFiled: January 31, 2023Date of Patent: March 5, 2024Assignee: Splunk Inc.Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim
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Patent number: 11886464Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.Type: GrantFiled: January 23, 2023Date of Patent: January 30, 2024Assignee: Splunk Inc.Inventors: Adam Jamison Oliner, Kristal Curtis, Iman Makaremi, Ross Andrew Lazerowitz
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Patent number: 11720824Abstract: Techniques are described for providing a machine learning (ML) data analytics application including guided ML workflows that facilitate the end-to-end training and use of various types of ML models, where such guided workflows may also be referred to as ML “experiments.” One such model is an outlier detection model to assist in the monitoring of computer network traffic and computer performance. For example, the ML data analytics application may generate an outlier detection model using user-identified data from a data source and parameter information. The generates outlier detection model can include distribution functions of distribution types selected from a plurality of distribution types by a distribution fitting algorithm.Type: GrantFiled: October 19, 2022Date of Patent: August 8, 2023Assignee: Splunk Inc.Inventors: Iryna Vogler-Ivashchanka, Iman Makaremi
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Patent number: 11593443Abstract: 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.Type: GrantFiled: September 30, 2021Date of Patent: February 28, 2023Assignee: SPLUNK Inc.Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim
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Patent number: 11593400Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.Type: GrantFiled: January 26, 2021Date of Patent: February 28, 2023Assignee: Splunk Inc.Inventors: Adam Jamison Oliner, Kristal Curtis, Iman Makaremi, Ross Andrew Lazerowitz
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Patent number: 11537942Abstract: Techniques are described for providing a machine learning (ML) data analytics application including guided ML workflows that facilitate the end-to-end training and use of various types of ML models, where such guided workflows may also be referred to as ML “experiments.” One such model is an outlier detection model to assist in the monitoring of computer network traffic and computer performance. For example, the ML data analytics application may generate an outlier detection model using user-identified data from a data source and parameter information. The generates outlier detection model can include distribution functions of distribution types selected from a plurality of distribution types by a distribution fitting algorithm.Type: GrantFiled: July 31, 2019Date of Patent: December 27, 2022Assignee: Splunk Inc.Inventors: Iryna Vogler-Ivashchanka, Iman Makaremi
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Patent number: 11514278Abstract: 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.Type: GrantFiled: September 23, 2020Date of Patent: November 29, 2022Assignee: SPLUNK Inc.Inventors: Manish Sainani, Sergey Slepian, Di Lu, Adam Oliner, Jacob Leverich, Iryna Vogler-Ivashchanka, Iman Makaremi
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Patent number: 11188600Abstract: 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.Type: GrantFiled: June 17, 2020Date of Patent: November 30, 2021Assignee: SPLUNK INC.Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim
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Publication number: 20210192395Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.Type: ApplicationFiled: March 3, 2021Publication date: June 24, 2021Inventors: Manish Sainani, Sergey Slepian, Iman Makaremi, Adam Jamison Oliner, Jacob Leverich, Di Lu
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Patent number: 10956834Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.Type: GrantFiled: December 9, 2019Date of Patent: March 23, 2021Assignee: SPLUNK INC.Inventors: Manish Sainani, Sergey Slepian, Iman Makaremi, Adam Jamison Oliner, Jacob Leverich, Di Lu
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Patent number: 10942946Abstract: Machine data of an operating environment is conveyed by a network to a data intake and query system (DIQS) which reflects the machine data as timestamped entries of a field-searchable datastore. Monitoring functionality may search the machine data to identify notable event instances. A notable event processing system correlates the notable event instance to one or more triaging models which are executed against the notable event to produce a modeled result. Information of the received notable event and the modeled results are combined into an enhanced representation of a notable event instance. The enhanced representation conditions downstream processing to automatically perform or assist triaging of notable event instances to optimize application of computing resources to highest priority conditions in the operating environment.Type: GrantFiled: July 30, 2018Date of Patent: March 9, 2021Assignee: Splunk, Inc.Inventors: Adam Jamison Oliner, Kristal Curtis, Iman Makaremi, Ross Andrew Lazerowitz
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Patent number: 10942960Abstract: Network connections are established between machines of an operating environment to be monitored and a server group of a data intake and query system (DIQS). Data reflecting machine and component operations of the environment is conveyed via the network to the DIQS where it is reflected as timestamped entries in a field-searchable datastore. Monitoring components may search the datastore and identify and record instances of notable events. Triaging models are selectively applied against the notable event instances to produce an enhanced notable event instance representation with modeled results effective to automatically perform or assist in triaging the notable events so they are dispatched in an optimal, effective, and efficient, manner.Type: GrantFiled: July 30, 2018Date of Patent: March 9, 2021Assignee: SPLUNK INC.Inventors: Adam Jamison Oliner, Kristal Curtis, Iman Makaremi, Ross Andrew Lazerowitz
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Publication number: 20210004651Abstract: 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.Type: ApplicationFiled: September 23, 2020Publication date: January 7, 2021Inventors: Manish Sainani, Sergey Slepian, Di Lu, Adam Oliner, Jacob Leverich, Iryna Vogler-Ivashchanka, Iman Makaremi
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Patent number: 10817757Abstract: 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.Type: GrantFiled: July 31, 2017Date of Patent: October 27, 2020Assignee: SPLUNK INC.Inventors: Manish Sainani, Sergey Slepian, Di Lu, Adam Oliner, Jacob Leverich, Iryna Vogler-Ivashchanka, Iman Makaremi
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Publication number: 20200320145Abstract: 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.Type: ApplicationFiled: June 17, 2020Publication date: October 8, 2020Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim
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Patent number: 10726079Abstract: 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.Type: GrantFiled: January 30, 2018Date of Patent: July 28, 2020Assignee: SPLUNK INC.Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim
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Publication number: 20200118030Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.Type: ApplicationFiled: December 9, 2019Publication date: April 16, 2020Inventors: Manish SAINANI, Sergey SLEPIAN, Iman MAKAREMI, Adam Jamison OLINER, Jacob LEVERICH, Di LU
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Patent number: 10607150Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.Type: GrantFiled: February 23, 2016Date of Patent: March 31, 2020Assignee: SPLUNK INC.Inventors: Manish Sainani, Sergey Slepian, Iman Makaremi, Adam Jamison Oliner, Jacob Leverich, Di Lu
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Publication number: 20190236210Abstract: 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.Type: ApplicationFiled: January 30, 2018Publication date: August 1, 2019Inventors: Iman Makaremi, Gyanendra Rana, Iryna Vogler-Ivashchanka, Adam Oliner, Harsh Keswani, Manish Sainani, Alexander Kim