公开(公告)号：US10423631B2

公开(公告)日：2019-09-24

申请号：US15405607

申请日：2017-01-13

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Ulrike Fischer ,  Francesco Fusco ,  Pascal Pompey ,  Mathieu Sinn

IPC分类号： G06F16/30 ,  G06F16/2457 ,  G06F17/50 ,  G06F16/248

摘要： Embodiments for automated data exploration and validation by a processor. One or more optimal data flows are provided in response to a query for one or more heterogeneous data sources according to an inference model based on a knowledge graph of heterogeneous data source relationships, a plurality of data flows between one or more heterogeneous data sources relating to the query, and an ontology of concepts and representing a domain knowledge of the one or more heterogeneous data sources.

公开(公告)号：US11176148B2

公开(公告)日：2021-11-16

申请号：US16537351

申请日：2019-08-09

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Ulrike Fischer ,  Francesco Fusco ,  Pascal Pompey ,  Mathieu Sinn

IPC分类号： G06F16/20 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/27 ,  G06F30/20

摘要： Embodiments for automated data exploration and validation by a processor. One or more optimal data flows are provided in response to a query for one or more heterogeneous data sources according to an inference model based on a knowledge graph a plurality of data flows between one or more heterogeneous data sources relating to the query. An analytical flow is provided for one or more of the plurality of data flows for those of the one or more heterogeneous data sources that are undetected, and two or more of the one or more of the plurality of data flows are aggregated or disaggregated for the one or more heterogeneous data sources that are nested within the knowledge graph. One or more criteria is received from a user via an interactive graphical user interface (GUI) to use for defining the one or more optimal data flows.

公开(公告)号：US10817568B2

公开(公告)日：2020-10-27

申请号：US15613404

申请日：2017-06-05

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Carlos Alzate Perez ,  Bei Chen ,  Ulrike Fischer ,  Yassine Lassoued

IPC分类号： G06F17/27 ,  G06F16/9032 ,  G06N20/00 ,  G06F16/21 ,  G06F16/9535 ,  G06F16/2452

摘要： Embodiments for recommending predictive modeling methods and features by a processor. One or more extracted methods and features of one or more predictive models are received according to selected criteria from both a structured database and from one or more data sources from a remote database. One or more extracted predictive model methods and features may be recommended according to the selected criteria.