System and method for providing improved interfaces for data operations based on a connections graph

    公开(公告)号:US11762910B2

    公开(公告)日:2023-09-19

    申请号:US17529767

    申请日:2021-11-18

    Applicant: Sisense Ltd.

    CPC classification number: G06F16/9024 G06F16/907 G06F16/90328

    Abstract: A system and method for providing an improved user interface for executing data operations. A method includes: identifying a first node and a second node from different connections graphs, each node representing a respective user account, the user accounts of the first and second nodes sharing at least one common attribute; generating, based on the different connections graphs, an influence indicator for each of the first node and the second node; identifying a data operation executed by the first node on a dataset when the influence indicator of the first node is higher than the influence indicator of the second node, wherein the identified data operation causes generation or retrieval of business intelligence system data when executed; and sending data indicating the identified data operation to a device of the second node, wherein the device is configured to display a user interface including the identified data operation.

    System and method for generating training sets for neural networks

    公开(公告)号:US11256985B2

    公开(公告)日:2022-02-22

    申请号:US16717251

    申请日:2019-12-17

    Applicant: Sisense Ltd.

    Inventor: Nir Regev

    Abstract: A system and method for generating training sets for training neural networks. The method includes determining a segmentation based on a column from a columnar database table; generating a group-by query based on the segmentation; generating a plurality of reduced queries based on the group-by query; executing the group-by query on a table of a database to obtain a result table, wherein the result table includes a plurality of results, wherein each result corresponds to a respective reduced query of the plurality of reduced queries; and generating a plurality of training query pairs by pairing each reduced query with its corresponding reduced result.

    System and method for representing query elements in an artificial neural network

    公开(公告)号:US11216437B2

    公开(公告)日:2022-01-04

    申请号:US16659350

    申请日:2019-10-21

    Applicant: Sisense Ltd.

    Inventor: Nir Regev

    Abstract: A system and method for representing query elements in an artificial neural network. The method includes generating a translation table based on a plurality of query elements, wherein the translation table maps a plurality of vectors to the plurality of query elements, wherein each of the plurality of vectors is mapped to at least one query element of the plurality of query elements, wherein a number of distinct query elements among the plurality of query elements is greater than a number of distinct vectors among the plurality of vectors.

    SYSTEM AND METHOD FOR APPROXIMATING QUERY RESULTS USING NEURAL NETWORKS

    公开(公告)号:US20190050726A1

    公开(公告)日:2019-02-14

    申请号:US15858957

    申请日:2017-12-29

    Applicant: Sisense Ltd.

    Abstract: A system and method for generating approximations of query results. The method includes sending a received query to a neural network, wherein the received query is executable on a target data set; receiving from the neural network a predicted result to the received query; providing the predicted result as a first output to a device having initiated the received query; determining a real result of the query from a data set stored in the database when the predicted result is insufficiently accurate; and providing the real result as a second output to a device having initiated the received query.

    System and method for efficiently querying data using temporal granularities

    公开(公告)号:US11947613B2

    公开(公告)日:2024-04-02

    申请号:US17661502

    申请日:2022-04-29

    Applicant: Sisense Ltd.

    CPC classification number: G06F16/9537 G06F16/144 G06F16/156 G06F16/168

    Abstract: A system and method for displaying data using temporal granularities. The method includes determining at least one first dataset of a plurality of datasets based on at least one temporal data requirement, wherein the plurality of datasets is generated based on a data model, wherein each of the plurality of datasets is generated based further on a distinct temporal granularity of a plurality of temporal granularities, wherein the distinct temporal granularity of each of the at least one first dataset meets at least one of the at least one temporal data requirement; and querying the determined at least one first dataset in order to obtain at least one query result.

    System and method for generating organizational memory using semantic knowledge graphs

    公开(公告)号:US11663498B2

    公开(公告)日:2023-05-30

    申请号:US16876943

    申请日:2020-05-18

    Applicant: Sisense Ltd.

    CPC classification number: G06N5/02 G06F16/24578 G06F16/285 G06F16/9035

    Abstract: A system and method for generating a semantic graph. The method includes: parsing each of a plurality of events into a plurality of objects, wherein the plurality of events includes a plurality of queries, wherein each event of the plurality of events is related to an interaction with at least one data source; determining, for each of the plurality of events, a relationship between two objects of the plurality of objects; and generating a semantic knowledge graph based on the determined relationships, the semantic knowledge graph including a plurality of query nodes and a plurality of edges, wherein each query node corresponds to a respective object of the plurality of objects, wherein each query node is connected to another query node of the plurality of query nodes by one of the plurality of edges, wherein each edge represents a relationship between the objects connected by the edge.

    SYSTEM AND METHOD FOR EFFICIENTLY QUERYING DATA USING TEMPORAL GRANULARITIES

    公开(公告)号:US20220261452A1

    公开(公告)日:2022-08-18

    申请号:US17661502

    申请日:2022-04-29

    Applicant: Sisense Ltd.

    Abstract: A system and method for displaying data using temporal granularities. The method includes determining at least one first dataset of a plurality of datasets based on at least one temporal data requirement, wherein the plurality of datasets is generated based on a data model, wherein each of the plurality of datasets is generated based further on a distinct temporal granularity of a plurality of temporal granularities, wherein the distinct temporal granularity of each of the at least one first dataset meets at least one of the at least one temporal data requirement; and querying the determined at least one first dataset in order to obtain at least one query result.

    System and method for efficiently querying data using temporal granularities

    公开(公告)号:US11354373B2

    公开(公告)日:2022-06-07

    申请号:US16707324

    申请日:2019-12-09

    Applicant: Sisense Ltd.

    Abstract: A system and method for displaying data using temporal granularities. The method includes determining at least one first dataset of a plurality of datasets based on at least one temporal data requirement, wherein the plurality of datasets is generated based on a data model, wherein each of the plurality of datasets is generated based further on a distinct temporal granularity of a plurality of temporal granularities, wherein the distinct temporal granularity of each of the at least one first dataset meets at least one of the at least one temporal data requirement; and querying the determined at least one first dataset in order to obtain at least one query result.

    System and method for partitioning data based on authorization rules

    公开(公告)号:US11354330B2

    公开(公告)日:2022-06-07

    申请号:US16695474

    申请日:2019-11-26

    Applicant: Sisense Ltd.

    Inventor: Guy Boyangu

    Abstract: A system and method for partitioning data based on authorization rules. The method includes initiating a plurality of data nodes, each data node including a dataset generated based on a shared data model, wherein each of the plurality of data nodes corresponds to at least one authorization rule, wherein each authorization rule authorizes at least one user identifier to access a respective data node of the plurality of data nodes; and configuring an extract, transform, and load (ETL) application service to extract data from a data source and to load data from the data source to the dataset stored on a first data node of the plurality of data nodes when the at least one first authorization rule authorizes a requesting user to access the first data node.

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