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

IPC: G06N20/00 ,  G06K9/62

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.

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.

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.

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.

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

IPC: G06N20/20 ,  G06N5/00

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.

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.

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

IPC: G06F16/28 ,  G06F16/27

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.

公开(公告)号：US20220188383A1

公开(公告)日：2022-06-16

申请号：US17120400

申请日：2020-12-14

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Jacques DOAN HUU

IPC: G06F17/18 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08

Abstract: Provided is a system and method which trains a model based on a horizon-wise cost function which accounts for error across a horizon rather than just a next point in time thereby improving the accuracy of the trained model in the long term. In one example, the method may include storing time-series data, executing a training iteration for a machine learning model based on one or more parameter values, determining error values between the predicted values output by the machine learning model and actual values of the time-series data for a plurality of intervals included in a horizon of the time-series data, generating a total error value for the horizon based on the determined error values for the intervals, and storing the generated total error value for the horizon. The method also enables a user to dynamically adjust a weight for each interval of the horizon.

公开(公告)号：US11194850B2

公开(公告)日：2021-12-07

申请号：US16221114

申请日：2018-12-14

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Saeed Jahankhani ,  Alexander MacAulay

IPC: G06F16/33 ,  G06F40/211 ,  G06F40/242 ,  G06F40/289 ,  G06F16/2453

Abstract: A system includes reception of an input string of words, determination, for each subset of consecutive one or more words in the input string, of one or more phrase types based on the subset, on a dictionary describing a plurality of entities, each of the plurality of entities associated with an entity type, and on a grammar describing a plurality of phrase types, each of the plurality of phrase types associated with one or more conditions, and determination of a plurality of candidate queries based on the determined phrase types.

公开(公告)号：US20210374770A1

公开(公告)日：2021-12-02

申请号：US16890430

申请日：2020-06-02

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Anirban Banerjee ,  Robert McGrath ,  Malte Christian Kaufmann ,  Eoin Goslin ,  Esther Rodrigo Ortiz

IPC: G06Q30/02 ,  H04L29/08

Abstract: The present disclosure involves systems, software, and computer implemented methods for measuring successful interactions with an insight tool. One example method includes receiving a request for insights for a data point of a data visualization. Insights for the data point are identified and presented in an insights interface in a user session. User interactions with the insights interface are tracked during the user session. A determination is made that the user session has completed. At least one insights success rule is identified for determining whether user sessions with the insights interface are successful. The one or more insights success rules are evaluated to determine whether the user session was successful. In response to determining that the user session was successful, a measure of success for the user session is recorded. In response to determining that the user session was unsuccessful, a measure of failure is recorded for the user session.