DETECTING NETWORK ANOMALIES FOR ROBUST SEGMENTS OF NETWORK INFRASTRUCTURE ITEMS IN ACCORDANCE WITH SEGMENT FILTERS ASSOCIATED VIA FREQUENT ITEMSET MINING

    公开(公告)号:US20220311687A1

    公开(公告)日:2022-09-29

    申请号:US17660632

    申请日:2022-04-25

    Abstract: A processing system may generate segments of network infrastructure items deployed in a communication network, each segment comprising network infrastructure items grouped in accordance with segment filters and a segment size sparsity threshold, and identify anomalous segments comprising at least a subset of the segments having anomalies of an anomaly type regarding a performance indicator. The processing system may next determine segments from the subset that are defined by sets of segment filter values that are different for less than a threshold number of segment filters, merge the segments from the subset that are different for less than the threshold number to create at least one aggregate segment, and generate a ranking of the subset having the anomalies of the anomaly type, wherein the ranking includes the at least one aggregate segment. The processing system may then perform at least one action in the communication network responsive to the ranking.

    SEPARATING INTENDED AND NON-INTENDED BROWSING TRAFFIC IN BROWSING HISTORY

    公开(公告)号:US20200076906A1

    公开(公告)日:2020-03-05

    申请号:US16120748

    申请日:2018-09-04

    Abstract: Facilitating separation of intended and non-intended browsing traffic in browsing history advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise determining respective contradiction values for second-level domains of a group of second-level domains in observed browsing history traffic. The operations can also comprise separating intended network traffic from non-intended network traffic based on the respective contradiction values. The respective contradiction values can indicate levels of inconsistency between the observed browsing history traffic and a determined popularity ranking.

    ASSISTIVE MEMORY RECALL
    8.
    发明公开

    公开(公告)号:US20240152543A1

    公开(公告)日:2024-05-09

    申请号:US18053742

    申请日:2022-11-08

    CPC classification number: G06F16/436 G06F16/438

    Abstract: In one example, a method performed by a processing system including at least one processor includes detecting a need for assisted recall relating to an event in which a user was involved at a time in the past, identifying an instance of egocentric media stored in a library of egocentric media, wherein the instance of egocentric media matches the event in which the user was involved, modifying the instance of egocentric media to assist the user in recalling the event in which the user was involved, and presenting the instance of the egocentric media, as modified, to a user endpoint device of the user.

    TECHNIQUES FOR MANAGING TASKS FOR EFFICIENT WORKFLOW MANAGEMENT

    公开(公告)号:US20240104467A1

    公开(公告)日:2024-03-28

    申请号:US17934382

    申请日:2022-09-22

    CPC classification number: G06Q10/0633 G06Q10/063112 G06Q10/06316

    Abstract: Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks. In response to detecting user fatigue or stress, TMC can adjust task attributes, including task completion due dates, to allow user recovery time, while still ensuring timely completion of tasks.

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