公开(公告)号：US20250013819A1

公开(公告)日：2025-01-09

申请号：US18348172

申请日：2023-07-06

Applicant: Business Objects Software Ltd.

Inventor： Ying Wu ,  Malte Christian Kaufmann

IPC: G06F40/18 ,  G06F3/0482

Abstract: A data analyzer highlighter highlights elements of a user interface to enable a user to better understand and analyze the data presented. To do this, a first visualization is generated in a user interface. A configuration panel including elements for selecting statistical techniques is also generated in the user interface. Selections are obtained via the user interface of one or more statistical techniques. Then statistics are determined from the dataset using each of the one or more selected statistical techniques. Rows of data or the columns of data are then sorted based on a number of extreme values in the particular row or column, wherein the extreme value is a minimum value, a maximum value, or an outlier value. A second visualization sorted based on the number of extreme values in the particular row or column is then generated in the user interface.

公开(公告)号：US20240193462A1

公开(公告)日：2024-06-13

申请号：US18059852

申请日：2022-11-29

Applicant: Business Objects Software LTD

Inventor： Paul O'Hara

IPC: G06N20/00 ,  G06K9/62

CPC classification number: G06N20/00 ,  G06K9/6256

Abstract: A system may obtain a plurality of historical feature contribution score (FCS) datasets, each historical FCS dataset comprising a first plurality of feature contribution scores and a size of the historical FCS dataset. The system may apply default feature contribution category classification (FCCC) parameters to the plurality of historical FCS datasets and may optimize the default FCCC parameters to produce a plurality of optimized FCCC parameters. The system may produce a training dataset comprising the optimized FCCC parameters and use the training dataset to train a machine learning model to apply the category classification labels. The system may apply the new FCS dataset to the machine learning model, the new FCS dataset comprising a second plurality of feature contribution scores and a size of the new FCS dataset, and provide the category classification labels for the new FCS dataset to a user interface.

公开(公告)号：US20230342659A1

公开(公告)日：2023-10-26

申请号：US17728259

申请日：2022-04-25

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Jacques DOAN HUU

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Systems and methods include reception of a plurality of records, each of the plurality of records associating each of a plurality of features with a respective value, a second feature with a value, and a target feature with a value, a first machine learning model trained based on the plurality of records to output a value of the target feature based on values of each of the plurality of features, a second machine learning model trained based on the plurality of records to output a value of the second feature based on the values of each of the plurality of features, determination, based on the trained second machine learning model, of a first one or more of the plurality of features which are correlated to the second feature, determination of an influence of each of the first one or more features on the trained first machine learning model, and determination of a first value associated with the second feature based on the determined influences and on the trained second machine learning model.

公开(公告)号：US20230342632A1

公开(公告)日：2023-10-26

申请号：US17726712

申请日：2022-04-22

Applicant: Business Objects Software Ltd.

Inventor： Jacques DOAN HUU

IPC: G06N5/02 ,  G06N5/04

CPC classification number: G06N5/022 ,  G06N5/047

Abstract: Provided is a system and method which generates a composite machine learning model that can filter downtime data from a time-series data signal and perform a prediction on remaining time-series data. In one example, the method may include detecting a pattern of downtime data within a time-series data signal, removing a subset of data from the time-series data based on the detected pattern of downtime and building a machine learning model to make predictions based on remaining data in the time-series data, generating segregation instructions configured to remove downtime data from a time-series data signal of a same type and to predict zero on future dates matching the downtime segregation codes, and building a composite machine learning model that includes the trained machine learning model and the segregation instructions for filtering data that is input to the trained machine learning models.

公开(公告)号：US11734299B2

公开(公告)日：2023-08-22

申请号：US17333392

申请日：2021-05-28

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Arta Alavi

IPC: G06F16/25

CPC classification number: G06F16/258

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：US11720579B2

公开(公告)日：2023-08-08

申请号：US17367882

申请日：2021-07-06

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Paul O'Hara ,  Malte Christian Kaufmann ,  Alan McShane ,  Anirban Banerjee ,  Mark Ahern

IPC: G06F16/2458 ,  G06F16/28 ,  G06F16/2457

CPC classification number: G06F16/2462 ,  G06F16/2457 ,  G06F16/283

Abstract: Systems and methods include determination, for each of a plurality of discrete features, of statistics based on a number of occurrences of each discrete value of the discrete feature in the data, determination of first summary statistics based on the determined statistics, determine of a dissimilarity for each discrete feature based on the first summary statistics and on the statistics determined for the discrete feature, determination of candidate discrete features based on the determined dissimilarities, determination, for each of the candidate discrete features, of second summary statistics based on values of a continuous feature associated with each discrete value of the candidate discrete feature, determination of a deviation score for each of the candidate discrete features based on the second summary statistics, and transmission of the candidate discrete features for display in association with the continuous feature based on the determined deviation scores.

公开(公告)号：US11709726B2

公开(公告)日：2023-07-25

申请号：US17333480

申请日：2021-05-28

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Arta Alavi

IPC: G06F11/00 ,  G06F11/07 ,  G06N5/025

CPC classification number: G06F11/079 ,  G06F11/0772 ,  G06F11/0775 ,  G06N5/025

Abstract: A method, a system, and a computer program product for analyzing error messages. A first error log generated as a result of an execution of at least one task of a computing system at a first instance is received. The first error log include a plurality of first error messages. A first association rules model is generated using the first error messages. The first association rules model includes a plurality of association rules defining one or more relationships. A second error log, including a plurality of second error messages, generated as a result of an execution of the task at a second instance is received and a second association rules model is generated using the second error messages. Based on the first and second association rules models, at least one error message pattern associated with execution of the at least one task is determined.

公开(公告)号：US20230185961A1

公开(公告)日：2023-06-15

申请号：US17547568

申请日：2021-12-10

Applicant: Business Objects Software Ltd.

Inventor： Arnaud Nouard

IPC: G06F21/62 ,  G06F40/186

CPC classification number: G06F21/6254 ,  G06F40/186 ,  G06F2221/2141

Abstract: A first user may generate a report that includes multiple data values. A second user may be granted access to some of the data values but not others. To accommodate the partial access permission, an application server may generate a version of the report that includes only the data values the second user is permitted to access. The data values that the second user is not permitted to access may be replaced by randomly generated character strings. A blurring effect may be applied to the replacement data values, providing a visual indication that the replacement data values are not the actual data values. Some data values of the report may depend on other data values. Both data values to which the user has explicitly been denied access and data values that depend on them are replaced in the generated version of the report.

公开(公告)号：US11669523B2

公开(公告)日：2023-06-06

申请号：US16712760

申请日：2019-12-12

Applicant: Business Objects Software Ltd.

Inventor： Ahmet Yoldemir ,  Alexander MacAulay ,  Saeed Jahankhani

IPC: G06F16/00 ,  G06F16/2452 ,  G06F16/2455

CPC classification number: G06F16/24522 ,  G06F16/24553

Abstract: A question library aids in intuitive analysis of stored data. The question library comprises: 1) a plurality of text questions, 2) a numerical representation (e.g., a vector) of each text question, and 3) a corresponding query in a query language. A numerical vector is generated for a question posed to a database. If a matching library question (based upon vector similarity) is not found, the user receives the original answer. If a matching library question based upon vector similarity is found, the user receives the answer to that library question (with potential modifications). Embodiments may determine similarity by calculating Pearson's coefficient, Spearman's rho, or Kendall's tau. Embodiments may parse the first query to identify constituent elements (measures, dimensions, filters). These entities are extracted and compared to elements of the second question matched within the library, to allow modification of the library query to align with the initial query.

公开(公告)号：US11568090B2

公开(公告)日：2023-01-31

申请号：US17321955

申请日：2021-05-17

Applicant: Business Objects Software Ltd.

Inventor： Arnaud Nouard

IPC: G06F21/64 ,  G06F21/44 ,  G06F3/04842 ,  G06F3/04845 ,  G06F21/31

Abstract: Computer-readable media, methods, and systems are disclosed for displaying a visual indication that an analytics rendering is authentic, and the integrity of the data is accurate and trusted. An analytics rendering comprising at least one table, chart, or graphic rendered from a plurality of aggregated data inputs from a plurality of microsystems may be selected. In a user interface for the analytics rendering, one or more structural identifiers associated with each data input of the plurality of aggregated data inputs can be displayed. A data input from the plurality of data inputs can then be selected and, responsive to receiving an instruction from a user, a visual indicator can be applied to the data input. If the one or more data inputs having an applied visual indicator is modified, the visual indicator will be visually altered in response the modification to the one or more data inputs.