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AssigneeOracle International Corporation
InventorsVictor Belyaev, Gabby Rubin, Samar Lotia, Alvin Raj, John Fuller
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 segments within a data set, associated with a target attribute value, based on, for example, the use of a classification and regression tree and a combination of different driving factors, or same driving factors with different values. Information describing segments associated with the data set 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 segments associated with a target attribute value, comprising:
A method for use of machine learning in a data visualization environment, to automatically determine, for a set of data, one or more segments associated with a target attribute value, comprising:
A non-transitory computer-readable storage medium including instructions stored thereon which when read and executed by one or more computers cause the one or more computers to perform a method comprising:
Dependencies are inferred from the claim text.