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公开(公告)号：US20230133856A1
公开(公告)日：2023-05-04
申请号：US17514801
申请日：2021-10-29
Applicant: Business Objects Software Ltd.
Inventor： Paul O'Hara , Malte Christian Kaufmann , Esther Rodrigo Ortiz , Conor White
Abstract: Using approximated bin intervals to label the histograms provides clarity and allows for the histogram to be more intuitively understood. A dataset may comprise a plurality of records having a plurality of features including one or more continuous features. A selection of a continuous feature may be obtained. A bin width based on a number of bins and feature statistics of the continuous feature may be determined. An approximated bin interval range is determined by applying a bin mask based on the bin width to the feature statistics. An approximated bin width is determined based on the number of bins and the approximated bin interval range. Approximated bin intervals for the histogram are determined based on the approximated bin width. A histogram is generated having bins with intervals based the approximated bin intervals.
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公开(公告)号：US11556525B2
公开(公告)日：2023-01-17
申请号：US16577713
申请日：2019-09-20
Applicant: Business Objects Software LTD
Inventor： Stephane Debaecker , Raphael Geoffroy
IPC: G06F17/30 , G06F16/242 , G06F16/245 , G06F16/28
Abstract: In some embodiments, a method receives a connection to a data source. The method analyzes metadata of the data source to determine a first type of metadata for a first type of database access and a second type of metadata for a second type of database access. The first type of metadata and the second type of metadata are combined into a data structure. Then, the method stores the data structure where the data structure is used to analyze a query to determine which of the first type of database access and the second type of database access to use for the query.
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公开(公告)号：US11545118B2
公开(公告)日：2023-01-03
申请号：US17324629
申请日：2021-05-19
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Jean Christophe Cros
IPC: G09G5/38
Abstract: An example method and system for display of out-of-window status indicators in a virtual shelf of a diagram window. A diagram framework displays a first portion of a diagram within a diagram window of a display device. The diagram comprises a set of shapes and a set of connectors representing a corresponding set of relationships between a set of objects. The framework detects that a first shape of the set of shapes at a first position of the first shape and a first status indicator associated with the first shape at a first position of the first status indicator are at least partially outside a first visible portion of the diagram within the diagram window. The diagram framework determines a second position of the first status indicator within the diagram window. The first status indicator at the second position of the first status indicator is displayed within the diagram window.
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公开(公告)号：US20220391751A1
公开(公告)日：2022-12-08
申请号：US17338243
申请日：2021-06-03
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： YANN LE BIANNIC , Savaneary Sean
Abstract: A method, a system, and a computer program product for determining uncertainties associated with a predictive modeling environment executed by computing systems. A dataset that includes a plurality of variables associated with one or more values is received for training a predictive model. The predictive model is trained using the received dataset and applied to one or more variables in the received dataset to generate a prediction. One or more uncertainty intervals corresponding to one or more contributions of one or more missing values corresponding to one or more variables in the plurality of variables are generated. One or more uncertainty intervals corresponding to one or more contributions of one or more rare values corresponding to one or more variables in the plurality of variables are generated. An alert indicative of the prediction is generated based on the one or more generated uncertainty intervals.
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公开(公告)号：US20220382776A1
公开(公告)日：2022-12-01
申请号：US17333392
申请日：2021-05-28
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Arta Alavi
IPC: G06F16/25
Abstract: A method, a system, and a computer program product for templatizing error messages in computing systems. An error log generated as a result of an execution of at least one task of a computing system is monitored. The error log includes a plurality of error messages. Each error message includes a first portion and a second portion. Each error message is extracted from the generated error log. One or more error message processing rules for converting each error message into a corresponding template format error message is determined. The error message processing rules are associated with at least one task. The determined error message processing rules are executed to convert each extracted error message into the corresponding template format error message. The converted error message includes the first portion, where the second portion is removed from the converted error message. A converted error log is generated.
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Patent Agency Ranking
公开(公告)号：US20220375435A1
公开(公告)日：2022-11-24
申请号：US17324629
申请日：2021-05-19
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Jean Christophe Cros
IPC: G09G5/38
Abstract: An example method and system for display of out-of-window status indicators in a virtual shelf of a diagram window. A diagram framework displays a first portion of a diagram within a diagram window of a display device. The diagram comprises a set of shapes and a set of connectors representing a corresponding set of relationships between a set of objects. The framework detects that a first shape of the set of shapes at a first position of the first shape and a first status indicator associated with the first shape at a first position of the first status indicator are at least partially outside a first visible portion of the diagram within the diagram window. The diagram framework determines a second position of the first status indicator within the diagram window. The first status indicator at the second position of the first status indicator is displayed within the diagram window.
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公开(公告)号：US20220374765A1
公开(公告)日：2022-11-24
申请号：US17328427
申请日：2021-05-24
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Ying WU , Jiazheng LI , Paul O'HARA , Malte Christian KAUFMANN
IPC: G06N20/00 , G06F16/2457
Abstract: Systems and methods include reception of a set of data, the set of data comprising a plurality of features, building, for each of a plurality of subsets of the plurality of features, a dimension reduction model based on the subset of features and associated values of the set of data, and, for each dimension reduction model, determination of a weight associated with each of subset of features based on the dimension model, identification of a predetermined number of features associated with the highest weights, and generation, for each dimension reduction model, of a data structure comprising the predetermined number of features and the weight associated with each of the predetermined number of features. A plurality of top features are determined based on the plurality of data structures, and a supervised learning model is trained based on the plurality of top features of the set of data.
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公开(公告)号：US20220366315A1
公开(公告)日：2022-11-17
申请号：US17313460
申请日：2021-05-06
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Louis DESREUMAUX , Jacques DOAN HUU
Abstract: Systems and methods include determination of a first plurality of sets of data, each including values associated with respective ones of a first plurality of features, partial training of a first machine-learning model based on the first plurality of sets of data, determination of one or more of the first plurality of features to remove based on the partially-trained first machine-learning model, removal of the one or more of the first plurality of features to generate a second plurality of sets of data, partial training of a second machine-learning model based on the second plurality of sets of data, determination that a performance of the partially-trained second machine-learning model is less than a threshold, addition, in response to the determination, of the one or more of the first plurality of features to the second plurality of sets of data, and training of the partially-trained first machine-learning model based on the first plurality of sets of data.
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公开(公告)号：US11475021B2
公开(公告)日：2022-10-18
申请号：US16876441
申请日：2020-05-18
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Ying Wu , Paul O'Connor , Esther Rodrigo Ortiz , Artur Stulka , Mateusz Lewandowski , Paul Sheedy , Mairtin Keane , Paul O'Hara , Malte Christian Kaufmann , Robert McGrath
IPC: G06F16/2457 , G06F16/2458
Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.
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公开(公告)号：US20220207058A1
公开(公告)日：2022-06-30
申请号：US17696264
申请日：2022-03-16
Applicant: Business Objects Software Ltd.
Inventor： Olivier Tsoungui
Abstract: Techniques for implementing nested group hierarchies for analytics applications are disclosed. In some embodiments, a computer-implemented method comprises: creating a hierarchy object in a semantic layer based on a request comprising a definition for a nested group hierarchy, the definition specifying a hierarchical relationship structure for non-leaf group nodes and at least one leaf node, the non-leaf group nodes and the leaf node(s) corresponding to data stored in a data source in a non-hierarchical structure, the hierarchy object specifying the hierarchical relationship structure based on the definition; generating a query result based on a request comprising an indication of the hierarchy object using the hierarchy object from the semantic layer to retrieve the data from the data source; and causing the query result to be displayed on a computing device using the hierarchy object to display the retrieved data in a hierarchical format indicating the hierarchical relationship structure.
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