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.

公开(公告)号：US20210365471A1

公开(公告)日：2021-11-25

申请号：US16877909

申请日：2020-05-19

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Paul O'Hara ,  Robert McGrath ,  Ying Wu ,  Shekhar Chhabra ,  Eoin Goslin ,  Pat Connaughton ,  John Bowden ,  Alan Maher ,  David Hutchinson ,  Leanne Long ,  Malte Christian Kaufmann ,  Pukhraj Saxena ,  Priti Mulchandani ,  Anirban Banerjee

IPC: G06F16/26 ,  G06F16/28 ,  G06F16/2458

Abstract: The present disclosure involves systems, software, and computer implemented methods for generating insights based on numeric and categorical data. One example method includes receiving a request for an insight analysis for a dataset that includes at least one continuous feature and at least one categorical feature. Continuous features can have any value within a range of numerical values and categorical features are enumerated features that can have a value from a predefined set of values. A selection of a first continuous feature for analysis is received, and at least one categorical feature is identified for analysis. A deviation factor and a relationship factor are determined for each identified categorical feature. An insight score is determined for each identified categorical feature that combines the deviation factor and the relationship factor for the categorical feature. The insight score is provided for at least some of the identified categorical features.

公开(公告)号：US11107166B2

公开(公告)日：2021-08-31

申请号：US16140760

申请日：2018-09-25

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Paul O'Hara ,  Ying Wu

IPC: G06Q40/00 ,  G06N5/04 ,  G06Q10/06 ,  G06Q30/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to predict future Day Sales Outstanding (DSO) forecasts for a number of future time periods. In one aspect, a method includes receiving open receivables financial line item data and revenue financial line item data, providing the open receivables financial line item data to a DSO predictor engine to generate a predicted open receivables that includes a multi-step time series forecasting regression generated from the open receivables financial line item data, providing the revenue financial line item data to the DSO predictor engine to generate a predicted revenue comprising the multi-step time series forecasting regression generated from the revenue financial line item data; generating a predicted DSO with the predicted open receivables and predicted revenue, and providing the predicted DSO to a client device.

公开(公告)号：US11048761B2

公开(公告)日：2021-06-29

申请号：US16218755

申请日：2018-12-13

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Devicharan Vinnakota

IPC: G06F7/02 ,  G06F16/00 ,  G06F16/907 ,  G06F16/9035 ,  G06Q10/06 ,  G06F16/901 ,  G06F40/30

Abstract: Methods, systems, and computer-readable storage media for receiving, by a semantic context service, a semantic context associated with a report generated by a first analytical tool, storing, by the semantic context service, the semantic context, receiving, by the semantic context service, a semantic context request from a second analytical tool, the semantic context request including a set of parameters, determining, by the semantic context service, a response to the semantic context request based on the set of parameters, the response including the semantic context, and returning, by the semantic context service, the response to the second analytical tool, the second analytical tool applying the semantic context to a report generated by the second analytical tool.

公开(公告)号：US20210182320A1

公开(公告)日：2021-06-17

申请号：US16710994

申请日：2019-12-11

Applicant: Business Objects Software Ltd.

Inventor： Xing Jin ,  Sumedha Sharma ,  James Lloyd

IPC: G06F16/29 ,  G06F16/2457 ,  G01C21/34

Abstract: Point-of-Interest (POI) data is stored according to a first, POI library as a flat file in a database. An engine is positioned between the POI library and an interface. The interface is configured to interact with data structured in a hierarchical manner and stored according to a second library (e.g., a modeling interface utilizing folders). The engine functions to wrap a POI object taken from a table of the POI library, into an augmented object recognized and handled by the second library of the (hierarchical) interface. To accomplish this, the engine augments the POI table with an additional column that is to be indexed by the second library. In this manner, embodiments may impart additional, hierarchy-based functionality to existing POI handling schemes. Particular embodiments may impart enhanced security (e.g., permissions at the data object-level) to existing POI schemes that implement permissions only at the POI-level and/or at the application-level.

公开(公告)号：US20210064623A1

公开(公告)日：2021-03-04

申请号：US16559838

申请日：2019-09-04

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Sanam Narula ,  Noel Ray Barron ,  Pak Man Chan ,  Walter Mak ,  Rita Huang ,  Tsz Hong Sung

IPC: G06F16/2455 ,  G06F16/954 ,  G06F16/958 ,  G06F3/0481 ,  G06F3/0484 ,  H04L29/06

Abstract: A system includes reception of a request to execute queries associated with an interactive data visualization, building, based on the request, of all queries required by the interactive data visualization on a background thread, reception of a query response associated with each built query on the background thread, building of a final response on the background thread based on the received query responses, and rendering, on a main thread, of the interactive data visualization based on the final response.

公开(公告)号：US20210048990A1

公开(公告)日：2021-02-18

申请号：US16540413

申请日：2019-08-14

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Johnson Wong

IPC: G06F8/35 ,  G06F9/445 ,  G06F16/901 ,  G06F9/54

Abstract: A system includes determination of a component state tree of an application, determination of a node of the component state tree, where all child nodes of the node have been refactored to comprise an immutable model, determination of a consumer component associated with invalid access to a state of the node, and modification of the access to the state of the node by the consumer component.

公开(公告)号：US10915522B2

公开(公告)日：2021-02-09

申请号：US15964814

申请日：2018-04-27

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Krista Drushku ,  Nicolas Labroche ,  Patrick Marcel ,  Verónika Peralta

IPC: G06F16/242 ,  G06F16/335 ,  H04L29/08 ,  G06Q10/06

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improving recommendation to users in data intelligence systems. In one aspect, a method includes the actions of receiving a current observation describing an interaction of a user with a data intelligence system; identifying a current user interest based on the current observation, wherein past observations of the user with the data intelligence system are clustered to form user interests in a Markov model; using the Markov model and based on the current user interest, determining a next user interest from the user interests; extracting a one past observation from the determined next user interest based on a selection criterion and a threshold, wherein the selection criterion is based on how closely the at least one past observation matches the current observation; and sending a recommendation to the user based on the past observation.