公开(公告)号：US20240362255A1

公开(公告)日：2024-10-31

申请号：US18469725

申请日：2023-09-19

申请人： ASTRON SECURITY INC.

发明人： Keun Seok CHO ,  Dong Ik KWAK

IPC分类号： G06F16/28 ,  G06F16/242

CPC分类号： G06F16/285 ,  G06F16/243

摘要： Disclosed is a method and mapping server for generating mapping information for a cloud event. The method includes: obtaining a document for any one mapping target event; generating at least one of a topic and a keyword for the mapping target event based on the document; based on at least one of the topic and the keyword, selecting one tactic to which the mapping target event is mapped; based on at least one of the topic and the keyword, selecting a technique to which the mapping target event is mapped; storing mapping information for the mapping target event in a mapping dictionary; and generating mapping information for each event and storing the generated mapping information in the mapping dictionary, thereby generating a mapping dictionary for at least some of the plurality of events.

公开(公告)号：US20240362254A1

公开(公告)日：2024-10-31

申请号：US18308366

申请日：2023-04-27

申请人： Dell Products L.P.

发明人： DHARMESH M. PATEL ,  PREM PRADEEP MOTGI ,  MANPREET SINGH SOKHI

IPC分类号： G06F16/28 ,  G06F16/215 ,  G06F16/23

CPC分类号： G06F16/285 ,  G06F16/215 ,  G06F16/2365

摘要： Methods and systems for managing access and control of data are disclosed. To manage access and control, a data management system may use a variety of data minimization and resiliency techniques to differentiate different repositories for storage of data. The different repositories may store data in different manners, and provide different levels of performance regarding stored data. By differentiating the repositories, criteria may be established and enforced to prioritize different types of data for storage.

公开(公告)号：US20240362234A1

公开(公告)日：2024-10-31

申请号：US18242251

申请日：2023-09-05

申请人： Strategic Coach

发明人： Barbara Sue Smith ,  Daniel J. Sullivan

IPC分类号： G06F16/2457 ,  G06F16/28

CPC分类号： G06F16/24578 ,  G06F16/285

摘要： An apparatus and method for generating an instruction set for a user is provided. The apparatus includes at least a processor and a memory connected to the processor. The memory contains instructions configuring the at least a processor to receive a client datum from a client, where the client datum describes resources of the client, and to receive a user datum from the user, where user datum includes a target datum that describes resource transfer data from the client to the user. Initiation of resource transfer described by the target datum is triggered by the pattern exceeding a threshold. In addition, the memory contains instructions configuring the at least a processor to generate an interface query data structure including an input field and to display the first transfer datum and the second transfer datum hierarchically based on a user-input datum input to the input field.

公开(公告)号：US20240362228A1

公开(公告)日：2024-10-31

申请号：US18770766

申请日：2024-07-12

申请人： Ocient Holdings LLC

发明人： Andrew D. Baptist

IPC分类号： G06F16/2455 ,  G06F16/22 ,  G06F16/28 ,  G06F21/62

CPC分类号： G06F16/2456 ,  G06F16/2282 ,  G06F16/284 ,  G06F21/6227

摘要： A database system is operable to receive a plurality of records of a dataset for storage. A plurality of segment row data is generated from the plurality of records and a plurality of parity data corresponding to the plurality of segment row data is generated. The plurality of segment row data is stored via a first storage mechanism. The plurality of parity data is stored via a second storage mechanism. Execution of a plurality of queries against the dataset is facilitated by accessing the plurality of segment row data via the first storage mechanism. A storage failure of one of the plurality of segment row data via the first storage mechanism is detected. The one of the plurality of segment row data is recovered for storage via the first storage mechanism based on accessing at least one parity data via the second storage mechanism.

公开(公告)号：US20240362193A1

公开(公告)日：2024-10-31

申请号：US18291117

申请日：2022-07-11

申请人： ROLLS-ROYCE plc

发明人： Kee Khoon LEE ,  Henry KASIM ,  Terence HUNG ,  Airil Seet BIN AZRY SEET ,  Yirui FENG ,  Jonathan TAY ,  Albert PHANG ,  Piyush TAGADE

IPC分类号： G06F16/215 ,  G06F16/28

CPC分类号： G06F16/215 ,  G06F16/285

摘要： A computer-implemented method including: receiving a first data set including a plurality of values for a plurality of features; removing one or more features and associated values from the first data set to generate a second data set; determining feature importance of at least a subset of the features of the second data set using multiple-evaluation criteria; and performing an action using at least one feature of the second data set and the determined feature importance.

公开(公告)号：US12131343B2

公开(公告)日：2024-10-29

申请号：US18204526

申请日：2023-06-01

申请人： Chicago Mercantile Exchange Inc.

发明人： Ari L. Studnitzer ,  David John Geddes ,  Inderdeep Singh ,  Steven Hutt ,  Bernard Pieter Hosman

IPC分类号： G06Q30/0201 ,  G06F16/28 ,  G06N3/044 ,  G06N3/08 ,  G06N20/00 ,  G06Q40/04 ,  G06Q40/06

CPC分类号： G06Q30/0201 ,  G06F16/285 ,  G06N3/044 ,  G06N3/08 ,  G06N20/00 ,  G06Q40/04 ,  G06Q40/06

摘要： Systems and methods for pre-processing data to facilitate efficient and accurate machine learning are provided. The data may include market data. The pre-processing may include partitioning the data into windows assigning categories to windows generate a series of vectors. The series of vectors then being input into a computer system that executes a machine learning algorithm to efficiently train a neural network used to identify structure or patterns therein.

公开(公告)号：US12130842B2

公开(公告)日：2024-10-29

申请号：US18178417

申请日：2023-03-03

申请人： Splunk Inc.

发明人： Michael Joseph Baum ,  R. David Carasso ,  Robin Kumar Das ,  Bradley Hall ,  Brian Philip Murphy ,  Stephen Phillip Sorkin ,  Andre David Stechert ,  Erik M. Swan ,  Rory Greene ,  Nicholas Christian Mealy ,  Christina Frances Regina Noren

IPC分类号： G06F16/28 ,  G06F9/54 ,  G06F18/21

CPC分类号： G06F16/285 ,  G06F9/54 ,  G06F9/541 ,  G06F9/542 ,  G06F18/21

摘要： Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

公开(公告)号：US12130840B2

公开(公告)日：2024-10-29

申请号：US18084001

申请日：2022-12-19

申请人： Tonic AI, Inc.

发明人： Emily Christine Ritter ,  Howard Wang ,  Andrew C. Colombi ,  Jonathan T. Gluck

IPC分类号： G06F16/28 ,  G06F16/21 ,  G06F16/2457

CPC分类号： G06F16/284 ,  G06F16/211 ,  G06F16/2457

摘要： Generating virtual foreign key relationships includes determining and displaying, in a user interface, a set of candidate foreign keys. It further includes determining and displaying, in the user interface, a set of candidate primary keys. It further includes receiving a request, via the user interface, to generate a virtual foreign key relationship between a selected candidate foreign key and a selected candidate primary key. It further includes in response to receiving the request to generate the virtual foreign key relationship between the selected candidate foreign key and the selected candidate primary key, generating the virtual foreign key relationship at least in part by generating a record for the virtual foreign key relationship.
Determining a schema for non-relational data includes receiving a document in a first format. It further includes scanning the document and determining, for a field in the document, a corresponding path of the field and a data type of the field. It further includes updating a hybrid schema based at least in part on the determined path and data type of the field in the document.

公开(公告)号：US12130823B2

公开(公告)日：2024-10-29

申请号：US17008732

申请日：2020-09-01

申请人： Roblox Corporation

发明人： Sejal Chauhan ,  Aswath Manoharan ,  Nikolaus Sonntag ,  Eric Holmdahl

IPC分类号： G06F16/00 ,  A63F13/79 ,  G06F16/2457 ,  G06F16/28 ,  G06N20/00

CPC分类号： G06F16/24578 ,  A63F13/79 ,  G06F16/285 ,  G06N20/00 ,  A63F2300/5546

摘要： Implementations described herein relate to methods, systems, and computer-readable media to dynamically customize rankings. In some implementations, a method includes receiving, from a user, a request for a list of items available on an online gaming platform, identifying a particular trained machine learning model based at least in part on user data associated with the user, providing an input feature vector to the particular trained machine learning model, obtaining an output feature vector from the particular trained machine learning model, assigning a rank for each of the plurality of items based on the output feature vector, generating the list of items, wherein items in the list of items are ordered based on respective ranks, and providing a user interface to the user that includes the list of items.

公开(公告)号：US12130821B1

公开(公告)日：2024-10-29

申请号：US18748116

申请日：2024-06-20

申请人： Ernest Vasquez ,  Ernest Matthew Vasquez ,  Joshua Andres Vasquez

发明人： Ernest Vasquez ,  Ernest Matthew Vasquez ,  Joshua Andres Vasquez

IPC分类号： G06F16/00 ,  G06F16/2457 ,  G06F16/28 ,  G06F40/55

CPC分类号： G06F16/24573 ,  G06F16/285 ,  G06F40/55

摘要： A containerized data classification and automated metadata publishing system (DCAMPS-C) is disclosed. DCAMPS-C is powered by a data classification engine. The containerized data classification and automated metadata publishing system hosts a data classification and automated metadata cloud application publishing service. DCAMPS-C offers a containerized solution that automates the data classification and metadata generation processes, eliminates the need for manual input, reduces the chances of human error, and ensures seamless integration with modern cloud and on-premise infrastructures for better resource utilization, scalability, and overall efficiency in managing digital content within an organization.