PRESENTATION AND ANALYSIS OF USER INTERACTION DATA

    公开(公告)号:US20200326823A1

    公开(公告)日:2020-10-15

    申请号:US16911791

    申请日:2020-06-25

    Abstract: An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyses provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.

    Malicious software detection in a computing system

    公开(公告)号:US10728277B2

    公开(公告)日:2020-07-28

    申请号:US16148241

    申请日:2018-10-01

    Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

    MALICIOUS SOFTWARE DETECTION IN A COMPUTING SYSTEM

    公开(公告)号:US20190036945A1

    公开(公告)日:2019-01-31

    申请号:US16148241

    申请日:2018-10-01

    Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

    PRESENTATION AND ANALYSIS OF USER INTERACTION DATA

    公开(公告)号:US20170364227A1

    公开(公告)日:2017-12-21

    申请号:US15697808

    申请日:2017-09-07

    Abstract: An interactive, graph-based user interaction data analysis system is disclosed. The system is configured to provide analysis and graphical visualizations of user interaction data to a system operator. In various embodiments, interactive visualizations and analyses provided by the system may be based on user interaction data aggregated across particular groups of users, across particular time frames, and/or from particular computer-based platforms and/or applications. According to various embodiments, the system may enable insights into, for example, user interaction patterns and/or ways to optimize for desired user interactions, among others. In an embodiment, the system allows an operator to analyze and investigate user interactions with content provided via one or more computer-based platforms, software applications, and/or software application editions.

    SYSTEMS AND USER INTERFACES FOR DYNAMIC AND INTERACTIVE SIMULTANEOUS QUERYING OF MULTIPLE DATA STORES
    38.
    发明申请
    SYSTEMS AND USER INTERFACES FOR DYNAMIC AND INTERACTIVE SIMULTANEOUS QUERYING OF MULTIPLE DATA STORES 有权
    多个数据存储区的动态和交互式同时查询的系统和用户界面

    公开(公告)号:US20150112998A1

    公开(公告)日:2015-04-23

    申请号:US14504103

    申请日:2014-10-01

    Abstract: Embodiments of the present disclosure relate to a computer system and interactive user interfaces configured to enable efficient and rapid access to multiple different data sources simultaneously, and by an unskilled user. The unskilled user may provide simple and intuitive search terms to the system, and the system may thereby automatically query multiple related data sources of different types and present results to the user. Data sources in the system may be efficiently interrelated with one another by way of a mathematical graph in which nodes represent data sources and/or portions of data sources (for example, database tables), and edges represent relationships among the data sources and/or portions of data sources. For example, edges may indicate relationships between particular rows and/or columns of various tables. The table graph enables a compact and memory efficient storage of relationships among various disparate data sources.

    Abstract translation: 本公开的实施例涉及被配置为能够同时有效且快速地访问多个不同数据源的计算机系统和交互式用户界面,以及非熟练用户。 不熟练的用户可以向系统提供简单和直观的搜索项,并且系统可以自动地查询不同类型的多个相关数据源并将结果呈现给用户。 系统中的数据源可以通过数学图形来有效地相互关联,其中节点表示数据源和/或数据源(例如,数据库表)的部分,边缘表示数据源和/或 部分资料来源。 例如,边缘可以指示各种表的特定行和/或列之间的关系。 表格可以实现对各种不同数据源之间关系的紧凑和高效的存储。

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