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公开(公告)号:US10338769B2
公开(公告)日:2019-07-02
申请号:US14586607
申请日:2014-12-30
Applicant: Flavia Moser , Scott Cameron , Julian Gosper
Inventor: Flavia Moser , Scott Cameron , Julian Gosper
IPC: G06F16/248 , G06F3/0482
Abstract: In some example embodiments, an indication of a selected data point of a current visualization can be received. A context of the selected data point can be determined based on a dimension of the data point, and explanation candidates can be generated based on the context of the selected data point. Each exploration candidate can have a different dimension context that is within the context of the selected data point and a corresponding value for the dimension context. For each one of the explanation candidates, a corresponding score can be generated based on a difference between the value for the explanation candidate and an average value of all the values of the explanation candidates. The explanation candidates can be ranked based on the scores. At least one of the explanation candidates can be selected based on the ranking, and selectable explanation(s) for the selected explanation candidate(s) can be displayed.
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公开(公告)号:US10332010B2
公开(公告)日:2019-06-25
申请号:US13770666
申请日:2013-02-19
Applicant: Nancy Yan , Min He , David Kung
Inventor: Nancy Yan , Min He , David Kung
Abstract: A method and system are presented of automatically suggesting rules for data stored in a table, with the table comprising a plurality of columns. The table is profiled to identify a content type for each of one or more of the plurality of columns. A rule knowledge base is accessed to locate rules specified for identified content types. Then, one or more of the located rules specified for identified content types are presented as suggestions. Acceptance of one or more of the suggested rules is received from a user, and the received validations are stored in the rule knowledge base. The accepted rules are applied to data for quality detection and monitoring. Embodiments are also described where columns are suggested based on a given rule.
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公开(公告)号:US10324943B2
公开(公告)日:2019-06-18
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: G06F16/00 , G06F16/248 , G06F16/9535
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.
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公开(公告)号:US10296658B2
公开(公告)日:2019-05-21
申请号:US14876285
申请日:2015-10-06
Applicant: Business Objects Software, Ltd.
Inventor: Yann Le Biannic , Olivier Hamon , Bruno Dumant
Abstract: A computer-implemented method for generating a plurality of data suggestions is described. The method includes receiving a textual input in a user interface of a software application implementing a plurality of business processes, determining a query context associated with the textual input, a user, and data that the user is viewing in the software application, and computing a plurality of statistical metrics for the query context, the statistical metrics being computed using information obtained from datasets associated with the query context. The method also includes determining a plurality of candidate data combinations, the data combinations including a plurality of dimensions, measures, and filters compatible with the query context, ranking the plurality of candidate data combinations according to one of the plurality of statistical metrics, and generating at least one data suggestion using the plurality of candidate data combinations and providing the at least one data suggestion in the user interface.
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公开(公告)号:US10255345B2
公开(公告)日:2019-04-09
申请号:US14511047
申请日:2014-10-09
Applicant: Flavia Moser , Alexander Kennedy MacAulay , Julian Gosper
Inventor: Flavia Moser , Alexander Kennedy MacAulay , Julian Gosper
Abstract: A raw dataset including measures and dimensions is processed, by a preprocessing module, using an algorithm that produces a preprocessed dataset such that at least one type of statistical analysis of the preprocessed dataset yields equal results to the same type of statistical analysis of the raw dataset. The preprocessed dataset is then analyzed by a statistical analysis module to identify subsets of the preprocessed dataset that include a non-random structure or pattern. The analysis of the preprocessed dataset includes the at least one type of statistical analysis that produces the same results for both the preprocessed and raw datasets. The identified subsets are then ranked by a statistical ranker based on the analysis of the preprocessed dataset and a subset is selected for visualization based on the rankings. A visualization module then generates a visualization of the selected identified subset that highlights a non-random structure of the selected subset.
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公开(公告)号:US10013303B2
公开(公告)日:2018-07-03
申请号:US15496348
申请日:2017-04-25
Applicant: Business Objects Software Ltd.
Inventor: Paul Pallath , Rouzbeh Razavi
CPC classification number: G06F11/079 , G05B23/02 , G05B23/0254 , G06F11/0709 , G06F11/0751 , G06F11/0787 , 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:US09972105B2
公开(公告)日:2018-05-15
申请号:US15379743
申请日:2016-12-15
Applicant: Business Objects Software Ltd.
Inventor: Chang Deng
IPC: G06F17/30 , G06T11/20 , G06F3/0482
CPC classification number: G06T11/206 , G06F3/0482 , G06F17/30572 , G06F17/30598 , G06F17/30958 , G06T11/20 , G06T2200/24 , G06T2207/20092
Abstract: The disclosure generally describes computer-implemented methods, software, and systems, including a method for presenting information. A first graph is presented that represents plural groups, each representing an aggregated set of data points grouped based on a first set of common attributes. User input selecting a particular group is received. The aggregated set of data points is analyzed to determine whether the number of aggregated set of data points exceeds a threshold. In response to determining that the number exceeds the threshold, the aggregated set of data points is re-grouped. A second set of common attributes associated with the re-grouped set of data points is identified. The data points are aggregated based on the second set of common attributes. A second graph is provided for presentation, the updated graph representing plural groups, each group representing an aggregated subset of data points from the aggregated set of data points.
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公开(公告)号:US09904456B2
公开(公告)日:2018-02-27
申请号:US14558017
申请日:2014-12-02
Applicant: Yingyu Xie , Youdong Miao
Inventor: Yingyu Xie , Youdong Miao
IPC: G06F3/0481 , G06F3/0488 , G06F17/24 , G06F3/0486 , G06F3/0484
CPC classification number: G06F3/0486 , G06F3/0481 , G06F3/04842 , G06F3/04883 , G06F3/04886 , G06F17/246
Abstract: A mobile device user may quickly and naturally explore data received in a data grid from a remote database. A mobile device engine receives the database data including dimensions and measures, in a grid format comprising rows and columns of numerals. In response to a recognized suite of user gestures (e.g., horizontal swipe, vertical swipe, drag and drop), the engine may modify the data grid to provide a changed visualization, without the user device having to re-access a remote database server. In one example, a touch swipe down a column of the data grid may result in display of column data in vertical bar chart form, rather than exclusively as numerical values. Other user recognized gestures can include a user dragging and dropping one column into another, with horizontal bar visualizations combined into stacked bar charts that serve to rapidly apprise the user of a relative magnitude of column information.
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公开(公告)号:US09870417B2
公开(公告)日:2018-01-16
申请号:US14258250
申请日:2014-04-22
Applicant: Pierre Saurel , Jacques Doan Huu
Inventor: Pierre Saurel , Jacques Doan Huu
CPC classification number: G06F17/30589 , G06F17/30076 , G06F17/30091 , G06F17/30221 , G06F17/30312 , G06F17/30336 , G06F17/30489
Abstract: The present disclosure involves systems, software, and computer-implemented methods for merging object hierarchies. An example method includes identifying a first object hierarchy including one or more objects, each of the one or more objects representing a query associated with a data set; identifying a second object hierarchy including one or more objects; and generating a merged object hierarchy including the one or more objects from the first object hierarchy and the one or more objects from second object hierarchy, the merged hierarchy combining objects from the first and second object hierarchies that match and share a common parent object, and separately maintaining objects from the first and second object hierarchies that match and do not share a common parent object.
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公开(公告)号:US09824470B2
公开(公告)日:2017-11-21
申请号:US13724258
申请日:2012-12-21
Applicant: Heng-Chun Scott Kuo
Inventor: Heng-Chun Scott Kuo
CPC classification number: G06T11/206
Abstract: A method and system for highlighting portions of a graph based on exception highlight rules is described. Highlight rules for a graph are received from a selection of a portion of an axis of the graph. Portions of the graph satisfying the highlight rules are identified. Visualization on the graph is generated to highlight the identified portions of the graph satisfying the highlight rules.
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