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公开(公告)号：US20170109243A1
公开(公告)日：2017-04-20
申请号：US14885682
申请日：2015-10-16
Applicant: Business Objects Software, Ltd.
Inventor： Viren Kumar
CPC classification number: G06F11/1466 , G06F8/355 , G06F9/45529 , G06F11/1471 , G06F2201/84
Abstract: An improved model-based approach for undoing actions in an application that was not previously configured with an undo feature is disclosed. Object models are constructed for each object invoked by the application. Snapshots of the object model are captured after every action to preserve the object model state at different points in time. The object model includes an object tree data structure having multiple nodes comprising data and metadata for the object. The object model is frozen and editing of the object is only permitted via an undo management engine. In response to edits from the application, the undo management engine responds by unfreezing the path of object nodes from leaf node to root node in the object tree data structure. Edits are applied to the object model at the leaf node. The object model can then be re-frozen to maintain the state of the object after each action.
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公开(公告)号：US20170102978A1
公开(公告)日：2017-04-13
申请号：US14877764
申请日：2015-10-07
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Paul Pallath , Rouzbeh Razavi
IPC: G06F11/07
CPC classification number: G05B23/02 , G05B23/0254 , G06F11/0709 , G06F11/0751 , G06F11/0787 , G06F11/079 , H04L67/12
Abstract: The present disclosure describes methods, systems, and computer program products for detecting anomalies in an Internet-of-Things (IoT) network. One computer-implemented method includes receiving, by operation of a computer system, a dataset of a plurality of data records, each of the plurality of data records comprising a plurality of features and a target variable, the plurality of features and target variable including information of a manufacturing environment; identifying a set of normal data records from the dataset based on the target variable; identifying inter-feature correlations by performing correlation analysis on the set of normal data records; and detecting anomaly based on the inter-feature correlations for predictive maintenance.
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公开(公告)号：US20170046404A1
公开(公告)日：2017-02-16
申请号：US14822776
申请日：2015-08-10
Applicant: Business Objects Software Ltd.
Inventor： Sybil Shim , Daniel Georges , Charles Wilson , Paul van der Eerden , Saeed Jahankhani
IPC: G06F17/30
CPC classification number: G06F17/30554 , G06F17/30867
Abstract: Examples of auto-monitoring and adjusting dynamic data visualizations are provided herein. A data visualization based on initial data can be generated. A series of data updates can be received. The data visualization can be updated based on the series of data updates. Various performance metrics can be monitored, and data updates and/or the updated data visualization can be adjusted accordingly. Performance metrics can include at least one of: a data visualization rendering time; a data transfer time; or a data update generation time. Upon determining that one or more performance metrics exceed a threshold: a time between data updates of the series of data updates can be increased; sampled data can be requested for subsequent data updates; and/or a time-dimension extent of the updated data visualization can be reduced.
Abstract translation: 本文提供了自动监控和调整动态数据可视化的示例。 可以生成基于初始数据的数据可视化。 可以接收一系列数据更新。 可以基于一系列数据更新来更新数据可视化。 可以监视各种性能指标，并可以相应地调整数据更新和/或更新的数据可视化。 性能指标可以包括以下至少一项：数据可视化呈现时间; 数据传输时间; 或数据更新生成时间。 在确定一个或多个性能指标超过阈值时：可以增加一系列数据更新的数据更新之间的时间; 可以请求采样数据进行后续数据更新; 和/或更新的数据可视化的时间维度范围可以减少。
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公开(公告)号：US09195689B2
公开(公告)日：2015-11-24
申请号：US13770946
申请日：2013-02-19
Applicant: Business Objects Software Ltd.
Inventor： John Alex William
IPC: G06F17/30
CPC classification number: G06F17/30292 , G06F17/30917
Abstract: Systems and methods for converting structured data into database entries include receiving data values and metadata elements that form a data structure for the data values. The data values are converted into entries in database tables that are related according to the data structure formed by the metadata elements. The database table entries may be used to generate a webpage configured to report a metric of the data values.
Abstract translation: 将结构化数据转换成数据库条目的系统和方法包括接收形成数据值的数据结构的数据值和元数据元素。 将数据值转换为与元数据元素形成的数据结构相关的数据库表中的条目。 数据库表项可用于生成被配置为报告数据值的度量的网页。
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公开(公告)号：US09122678B2
公开(公告)日：2015-09-01
申请号：US13705580
申请日：2012-12-05
Applicant: Business Objects Software Ltd.
Inventor： Joseph Wong
IPC: G06F17/30
CPC classification number: G06F17/30002 , G06F17/30324 , G06F17/3069
Abstract: The suggestions of objects in a real-time collaboration tool can be accomplished by first forming a first vector representing an object utilized in the real-time collaboration tool. The vector can then be compared to a plurality of vectors representing a plurality of objects stored in a database to locate one or more vectors similar to the first vector. One or more of the plurality of objects stored in the database can be recommended to a user of the real-time collaboration tool based on the comparing.
Abstract translation: 可以通过首先形成表示实时协作工具中使用的对象的第一向量来实现实时协作工具中的对象的建议。 然后可以将向量与表示存储在数据库中的多个对象的多个向量进行比较，以定位与第一向量类似的一个或多个向量。 基于比较，可以向实时协作工具的用户推荐存储在数据库中的多个对象中的一个或多个。
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Patent Agency Ranking
公开(公告)号：US20150039942A1
公开(公告)日：2015-02-05
申请号：US13960820
申请日：2013-08-07
Applicant: Business Objects Software Ltd
Inventor： Jun CHE , Zimo ZHANG , Tianli ZHANG , Guan LI
IPC: G06F11/36
CPC classification number: G06F11/3612 , G06F11/3409 , G06F11/3419 , G06F11/3466 , G06Q10/0639
Abstract: Described herein is a technology for a dashboard used for visualizing data. In some implementations, a dashboard with one or more dashboard item is provided. Performance of the dashboard is evaluated to determine a load time of the dashboard. Possible suggestions for improving performance of the dashboard are provided if performance issues are determined from evaluating performance of the dashboard.
Abstract translation: 这里描述的是用于可视化数据的仪表板的技术。 在一些实现中，提供具有一个或多个仪表板项目的仪表板。 评估仪表板的性能以确定仪表板的加载时间。 如果通过评估仪表板的性能确定性能问题，则可以提供改进仪表板性能的可能建议。
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公开(公告)号：US12293320B2
公开(公告)日：2025-05-06
申请号：US17231057
申请日：2021-04-15
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Jacques Doan Huu
IPC: G06F17/15 , G06F18/2433 , G06N20/00 , G06Q10/04 , G06Q10/0635 , G06Q10/067
Abstract: Provided is a system and method which can identify a causal relationship for anomalies in a time-series signal based on co-occurring and preceding anomalies in another time-series signal. In one example, the method may include identifying a recurring anomaly within a time-series signal of a first data value, determining a time-series signal of a second data value that is a cause of the recurring anomaly in the time-series signal of the first data value based on a preceding and co-occurring anomaly in the time-series signal of the second data value, and storing a correlation between the preceding and co-occurring anomaly in the time-series signal of the second data value and the recurring anomaly in the time-series signal of the first data value.
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公开(公告)号：US12271797B2
公开(公告)日：2025-04-08
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：US20250053836A1
公开(公告)日：2025-02-13
申请号：US18931779
申请日：2024-10-30
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Jacques DOAN HUU , Elouan ARGOUARCH
Abstract: Provided are a system and method which iteratively predicts an output signal of a time-series data value via execution of a time-series machine learning model on input data, decomposes the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning model, the plurality of component signals comprising a trend signal. a cyclic signal, and a fluctuation signal, determines a plurality of global values respectively corresponding to the plurality of component signals for a first subset of the predicted output signal, where a global value is determined based on an absolute value of a respective component signal within the first subset, constructs a plurality of bars respectively corresponding to global values of the plurality of component signals, and displays the plurality of bars via a user interface.
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公开(公告)号：US12159240B2
公开(公告)日：2024-12-03
申请号：US17233600
申请日：2021-04-19
Applicant: BUSINESS OBJECTS SOFTWARE LTD.
Inventor： Jacques Doan Huu , Elouan Argouarch
Abstract: Provided is a system and method which decomposes a predicted output signal of a time-series forecasting model into a plurality of sub signals that correspond to a plurality of components, and determines and displays a global contribution of each component. In one example, the method may include iteratively predicting an output signal of a time-series data value via execution of a time-series model, decomposing the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning algorithm, respectively, and displaying the plurality of global values via a user interface.
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