USER INTERFACE BASED VARIABLE MACHINE MODELING

    公开(公告)号:US20210255745A1

    公开(公告)日:2021-08-19

    申请号:US17162451

    申请日:2021-01-29

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    Query-based time-series data display and processing system

    公开(公告)号:US11016986B2

    公开(公告)日:2021-05-25

    申请号:US15997177

    申请日:2018-06-04

    Abstract: Various systems and methods are described herein for an improved spreadsheet application that allows a user to generate, manipulate, and replicate data visualizations (e.g., sparklines, graphs, charts, etc.) using functions without importing data into cells of the application. For example, data is stored in one or more remote or local data stores accessible to the improved spreadsheet application. A user enters a function into a cell of the improved spreadsheet application. The improved spreadsheet application generates a query using the function, the query identifying a portion of a dataset to retrieve from the data store(s). The improved spreadsheet application then transmits the query to the data store(s) and retrieves the requested data. A renderer of the improved spreadsheet application then renders a sparkline using the retrieved data. The improved spreadsheet application displays the rendered sparkline in the cell in which the function was entered, or at another designated location.

    Interactive user interface for dynamic data analysis exploration and query processing

    公开(公告)号:US09870389B2

    公开(公告)日:2018-01-16

    申请号:US15398113

    申请日:2017-01-04

    Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.

    Interactive user interface for dynamic data analysis exploration and query processing
    8.
    发明授权
    Interactive user interface for dynamic data analysis exploration and query processing 有权
    交互式用户界面,用于动态数据分析探索和查询处理

    公开(公告)号:US09335911B1

    公开(公告)日:2016-05-10

    申请号:US14858647

    申请日:2015-09-18

    Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.

    Abstract translation: 本文所述的系统和方法提供高度动态和交互的数据分析用户界面,使数据分析人员能够快速有效地探索大量数据源。 特别地,诸如本文所描述的数据分析系统可以提供特征,使得数据分析者可以在许多不同的分析途径中调查大量的数据,同时保持数据分析者在调查过程中采取的详细和可追溯的步骤 ,通过数据分析师的查询和用户与数据分析系统提供的用户界面进行交互捕获。 数据分析路径可能涉及大量数据集的探索,例如互联网代理数据,其可以包括数万亿行数据。 数据分析师可以追踪数据分析路径,其中包括应用过滤器,加入数据库中的其他表,查看交互式数据可视化等。

    Querying multi-dimensional time series data sets

    公开(公告)号:US12229104B2

    公开(公告)日:2025-02-18

    申请号:US16895447

    申请日:2020-06-08

    Abstract: A method, performed by one or more processors, may comprise receiving a query for performing one or more computational operations on one or more multi-dimensional data sets representing multi-dimensional time series data collected in real-time from one or more sensors associated with one or more technical systems. The method may also comprise identifying the location of the one or more multi-dimensional time series data sets in one or more databases, retrieving the one or more multi-dimensional time series data sets from the identified one or more databases, and performing the one or more computational operations on the retrieved one or more multi-dimensional time series data sets. The method may also comprise generating output based on the result of the one or more computational operations indicative of one or more states of the one or more technical systems with respect to time.

    Monitoring and alerting mechanisms
    10.
    发明授权

    公开(公告)号:US12124428B2

    公开(公告)日:2024-10-22

    申请号:US18077451

    申请日:2022-12-08

    CPC classification number: G06F16/2358 G06F16/258

    Abstract: Computing systems methods, and non-transitory storage media are provided for receiving a monitoring request. The monitoring request includes one or more entities or attributes to be monitored, one or more rules to be evaluated with respect to the entities or attributes, and one or more downstream actions to be selectively triggered based on the evaluation. Next, data regarding the entities or the attributes is obtained. Next, a log is generated. The log includes changes or updates, relative to a previous iteration, of the entities or the attributes. The changes or updates correspond to the rules. Next, the changes or the updates are evaluated against the one or more rules and based on the log. Next, one or more actions are selectively implemented based on the evaluation of the changes or the updates.

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