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：US11803761B2

公开(公告)日：2023-10-31

申请号：US16689921

申请日：2019-11-20

Applicant: Business Objects Software Ltd.

Inventor： Balazs Pete ,  Andong Wang ,  Jung-Rung Han ,  Flavia Silvana Moser ,  Alan Maher

IPC: G06N5/02 ,  G06F3/0481 ,  G06N5/04 ,  G06N5/00

CPC classification number: G06N5/02 ,  G06N5/00 ,  G06N5/04 ,  G06F3/0481

Abstract: The present disclosure pertains to processing a data model having hierarchical data. A front-end computer sends a request to a back-end computer for dimension candidates for the data model, which is visualized by the front-end computer. The front-end computer is configured score and rank such dimension candidates in order to determine statistics from the data model. The back-end computer determines dimension candidates based on their cardinality and hierarchical information and sends the dimension candidates to the front-end computer. The front-end computer performs the scoring and ranking of dimension candidates and determines statistics for a set of the dimension candidates. The statistics may be presented to a user along with charts and graphs representing the data model.

公开(公告)号：US20210150375A1

公开(公告)日：2021-05-20

申请号：US16689921

申请日：2019-11-20

Applicant: Business Objects Software Ltd.

Inventor： Balazs Pete ,  Andong Wang ,  Jung-rung Han ,  Flavia Silvana Moser ,  Alan Maher

IPC: G06N5/02

Abstract: The present disclosure pertains to processing a data model having hierarchical data. A front-end computer sends a request to a back-end computer for dimension candidates for the data model, which is visualized by the front-end computer. The front-end computer is configured score and rank such dimension candidates in order to determine statistics from the data model. The back-end computer determines dimension candidates based on their cardinality and hierarchical information and sends the dimension candidates to the front-end computer. The front-end computer performs the scoring and ranking of dimension candidates and determines statistics for a set of the dimension candidates. The statistics may be presented to a user along with charts and graphs representing the data model.