公开(公告)号：US20230342671A1

公开(公告)日：2023-10-26

申请号：US17728207

申请日：2022-04-25

Applicant: Business Objects Software Ltd.

Inventor： Jacques DOAN HUU

IPC: G06N20/20 ,  G06K9/62 ,  G06F16/9038

CPC classification number: G06N20/20 ,  G06K9/6257 ,  G06F16/9038

Abstract: Provided is a system and method which build a composite time-series machine learning model including a core model and a debrief model that includes a combination of the core model and a surrogate model. In one example, the method may include executing the plurality of models on test data and determining accuracy values and interpretability toughness values for the plurality models, selecting a most accurate model as a core model based on the accuracy values and select a most interpretable model as a surrogate model from among other models remaining in the plurality of models based on the interpretability toughness values, building a composite model comprising the core model, the surrogate model, and instructions for generating a debrief model for debriefing the core model based on a combination of the core model and the surrogate model, and storing the composite model within the memory.

公开(公告)号：US20230316111A1

公开(公告)日：2023-10-05

申请号：US18206020

申请日：2023-06-05

Applicant: Business Objects Software Ltd

Inventor： Yann Le Biannic

IPC: G06N5/04 ,  G06N20/00

CPC classification number: G06N5/04 ,  G06N20/00

Abstract: Techniques and solutions are described for analyzing results of a machine learning model. A result is obtained for a data set that includes a first plurality of features. A plurality of feature groups are defined. At least one feature group contains a second plurality of features of the first plurality of features. The second plurality of features is less than all of the first plurality of features. Feature groups can be defined based on determining dependencies between features of the first plurality of features, including using contextual contribution values. Group contextual contribution values can be determined for feature groups by aggregating contextual contribution values of the constituent features of the feature groups.

公开(公告)号：US11763240B2

公开(公告)日：2023-09-19

申请号：US17068692

申请日：2020-10-12

Applicant: Business Objects Software Ltd.

Inventor： Jiandong Shi ,  Katherine Wright ,  Flavia Moser ,  Ahmet Yoldemir

IPC: G06Q10/0639 ,  G06F3/0482

CPC classification number: G06Q10/06393 ,  G06F3/0482

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program identifies a set of visualizations associated with the user. The program further determines, for each visualization in the set of visualizations, a score associated with changes in the visualization. The program also determines a subset of the set of visualizations based on the set of scores. The program further provides to the user notifications associated with the subset of the set of visualizations.

公开(公告)号：US11748662B2

公开(公告)日：2023-09-05

申请号：US17958872

申请日：2022-10-03

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Cheng Yu Yao

IPC: G06F3/0482 ,  G06N20/00 ,  G06F9/451 ,  G06F11/34

CPC classification number: G06N20/00 ,  G06F9/451 ,  G06F11/3438 ,  G06F3/0482

Abstract: Provided is a system and method for building context from software applications and applying the context to visual settings in a graphical user interface. In one example, the method may include receiving an identification of actions performed by a user with respect to a user interface of a software application, receiving application metadata of the actions from the software application, the application metadata providing context associated with the actions, training one or more predictive models to predict user interface preferences for the user based on the actions and the application metadata, and storing the one or more trained predictive models via a storage device.

公开(公告)号：US11734309B2

公开(公告)日：2023-08-22

申请号：US17696264

申请日：2022-03-16

Applicant: Business Objects Software Ltd.

Inventor： Olivier Tsoungui

IPC: G06F16/28 ,  G06F16/27

CPC classification number: G06F16/282 ,  G06F16/27 ,  G06F16/284

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：US11733889B2

公开(公告)日：2023-08-22

申请号：US17237834

申请日：2021-04-22

Applicant: Business Objects Software LTD

Inventor： Ehsan Tavakoli

IPC: G06F3/00 ,  G06F3/06

CPC classification number: G06F3/0634 ,  G06F3/0604 ,  G06F3/0683

Abstract: Embodiments of the present disclosure include systems and methods for generating names for cloud storage containers. A unique identifier associated with a user of the client device is received from the client device. Next, a hash value is generated based on the unique identifier associated with the user of the client device. A character encoding scheme is then used to encode the hash value into a first encoded value. Instances of a first character in the encoded value is replaced with a defined second character to form a second encoded value. Finally, the second encoded value is sent to a cloud storage service for the cloud storage service to create a storage container using the second encoded value as a name of the storage container.

公开(公告)号：US11727030B2

公开(公告)日：2023-08-15

申请号：US16867036

申请日：2020-05-05

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Ben Murphy ,  Ying Wu ,  Paul O'Hara ,  Emmet Norton ,  Malte Christian Kaufmann ,  Orla Cullen

IPC: G06F16/25 ,  G06F16/28 ,  G06F7/14

CPC classification number: G06F16/258 ,  G06F7/14 ,  G06F16/285

Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically detecting hot areas in heat map visualizations. One example method includes identifying a two-dimensional heat map. The identified two-dimensional heat map is converted to a one-dimensional heat map. Cells of the one-dimensional heat map are clustered using a density-based clustering algorithm to generate at least one dense region of cells. A mean value of cells in each dense region is calculated and the dense regions are sorted by mean value in descending order. An approach for identifying hot areas is selected and the selected approach is used to identify at least one dense region as a hot area of the one-dimensional heat map.

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

IPC: G06T11/20 ,  G06K9/62

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.

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.

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.