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AssigneeOracle International Corporation
InventorsAshish Mittal, Victor Belyaev, Steve Simon Joseph Fernandez, Gabby Rubin, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
Estimating the term…
In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.
A system for use of machine learning in a data visualization environment, to automatically determine, for a set of data, one or more outliers or findings within the data set, comprising:
A method for automatically determining and reporting findings associated with data within a database or data set, comprising:
A non-transitory computer readable medium, including instructions stored thereon which when read and executed by one or more computers including one or more processors cause the one or more computers to perform a method comprising:
Dependencies are inferred from the claim text.