Oracle International Corporation

Alvin Raj

Victor Belyaev

Samar Lotia

Gabby Rubin

John Fuller

Ashish Mittal

Saugata Chowdhury

Bo Jonas Birger Lagerblad

Alextair Dominico Mascarenhas

Steve Simon Joseph Fernandez

Samuel Stephen Dyar

Matthew Jakubiak

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 receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.

System and method for data visualization using machine learning and automatic insight of facts associated with a set of data

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.

System and method for data visualization using machine learning and automatic insight of outliers associated with a set of data

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.

System and method for data visualization using machine learning and automatic insight of segments associated with a set of data

Mechanisms can be provided for locking a component and extending the lock to one or more additional component(s) in a visual analyzer application. Embodiments can receive a request for a first component of a document for a first thread where the document is displayed by a graphical user interface (GUI) and has components including the first component and a second component. A lock manager may lock the first component. An action handler can determine, based on code associated with an event pertaining to the request, that the second component also needs to be locked. The lock manager may lock the second component for a same thread, if the first and second components are not currently locked. Additional user actions directed to other components of the application not currently locked may still proceed, permitting asynchronous calls to be processed without interference with a previous action that has already started.

Lock-based updating of a document

Embodiments provide a visual analyzer system that can update an existing visualization upon receiving a user request to modify a dimension of data being presented by the visualization. Embodiments may provide an updated visualization, possibly of a different visualization type and/or with pre-existing dimensions mapped to different edges, without requiring any user specification of which dimensions to be mapped to which edges of the visualization. The system can determine configurations for the various visualization types and compute, for each configuration, a visualization score. Based on the scores, the system can select a configuration and render the updated visualization on a graphical user interface (GUI) to the user. Further, in response to user specification to change a representation of data from one visualization type to another, embodiments may determine an effective and intuitive manner in which to present the same set of data in the visualization of the other type.

Growing community of inventors

Woburn, MA, United States of America

Alvin Raj