公开(公告)号：US20180165599A1

公开(公告)日：2018-06-14

申请号：US15376271

申请日：2016-12-12

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Balazs Pete ,  Declan Kearney ,  Cathal McGovern ,  Simon Dornan ,  Jennifer Keane ,  Michael Golden ,  Orla Cullen ,  Robert McGrath ,  Shekhar Chhabra ,  Kerry O'Connor ,  Malte Christian Kaufmann ,  John Julian

IPC: G06N99/00 ,  G06F17/50

CPC classification number: G06N20/00 ,  G06F17/5009

Abstract: Techniques are described for integrating predictive models into applications, to enable the applications to provide predictive functionality. Using the framework according to implementations, predictive models and their supporting libraries may be incorporated into applications without requiring application developers to be knowledgeable regarding the particular features of the predictive models and/or libraries. The framework exposes a common and consistent application programming interface (API) on top of the predictive libraries. Applications can use the API to interact with the predictive models, thus enabling the applications to leverage predictive functionality. Implementations also provide an API which may be used by applications to request the retraining of predictive models.

公开(公告)号：US11475021B2

公开(公告)日：2022-10-18

申请号：US16876441

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Ying Wu ,  Paul O'Connor ,  Esther Rodrigo Ortiz ,  Artur Stulka ,  Mateusz Lewandowski ,  Paul Sheedy ,  Mairtin Keane ,  Paul O'Hara ,  Malte Christian Kaufmann ,  Robert McGrath

IPC: G06F16/2457 ,  G06F16/2458

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

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：US20210357417A1

公开(公告)日：2021-11-18

申请号：US16876441

申请日：2020-05-18

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Ying Wu ,  Paul O'Connor ,  Esther Rodrigo Ortiz ,  Artur Stulka ,  Mateusz Lewandowski ,  Paul Sheedy ,  Mairtin Keane ,  Paul O'Hara ,  Malte Christian Kaufmann ,  Robert McGrath

IPC: G06F16/2457 ,  G06F16/2458 ,  G06F16/215 ,  G06F16/22

Abstract: The present disclosure involves systems, software, and computer implemented methods for ranking time dimensions. One example method includes receiving a request for an insight analysis for a dataset that includes a value dimension and a set of multiple date dimensions. Each date dimension is converted into a time series and a value quality factor is determined for each time series that represents a level of data quality for the time series. A time series informative factor is determined for each time series that represents how informative the time series is within a specified time window. An insight score is determined, for each time dimension, based on the determined value quality factors and the determined time series informative factors. The insight score for the time dimension is provided, for at least some of the time dimensions.

公开(公告)号：US20170364818A1

公开(公告)日：2017-12-21

申请号：US15185951

申请日：2016-06-17

Applicant: Business Objects Software Ltd.

Inventor： Ying Wu ,  Malte Christian Kaufmann ,  Robert McGrath ,  Ulrich Schlueter ,  Simon Sitt

IPC: G06N7/00 ,  G06N99/00

CPC classification number: G06N7/005 ,  G06N20/00 ,  G06Q10/20

Abstract: For a plurality of sensors, a particular sensor is indicated as a target sensor and the other sensors as input sensors. A regression model is trained using historical data from the plurality of related sensors. The trained regression model is applied to the target sensor to generate a predicted target sensor value. A difference between an actual target sensor value and the predicted target sensor value is calculated. A probability of difference for the calculated difference between the actual target sensor value and the predicted target sensor value is compared against a threshold value.