Microsoft Technology Licensing, LLC

Alexandre Gorev

George G Robertson

Curtis Glenn Wong

Bongshin Lee

Roland Lucas Fernandez

Murali R Krishnan

David Francis Gainer

Christian Olaf Abeln

Stella Yick Chan

Benjamin L Chronister

Ian Michael Dunmore

Thomas Michael Casey

Matthew Jay Kotler

Danyel Aharon Fisher

Greg D Schechter

Brian Scott Ruble

Jason Joseph Weber

Morten Holm-Petersen

Morten Holm-Peterson

Barry James Givens

Ahmed K Kamal

Kelley T Maves

Gregory D Schechter

The claimed subject matter relates to an architecture that can support a declarative model-based approach to designing, constructing, and rendering visualizations. By complying with a declarative descriptor, components can be readily customized by way of modifications to the model&#x2014;declaratively specifying suitable features, behaviors, appearances and so forth. The descriptors that conform to the model can also facilitate connecting to various data sources and performing data transformation operations. Moreover, the descriptors that conform to the model can declaratively specify relationships based upon a scene layout. Accordingly, the architecture can further describe the scene layout and provide features based upon the layout.

Declarative approach for visualization

A visualization mechanism may use two sets of rules having different priorities to generate points of interest for a dataset, and display the dataset with labels for the points of interest. The first set of rules may identify and label points of interest by various mechanisms, including analysis of the dataset and comparison to other datasets. The second set of rules may de-clutter the points interest by filtering and aggregating the points of interest by various mechanisms including the priority of the rule that created the point of interest. A display generator may create the visualization of the dataset along with various labels. In some embodiments, the display generator may allow real time user interaction with the data, which may include resizing the visualization in which the filtering and aggregation may be re-applied.

Rule based visualization mechanism

The claimed subject matter relates to an architecture that can construct a map for summarizing analyses with respect to data included in a database. In addition, the architecture can display the map in a special canvas area. Generally, the map is a hub-and-spoke-style map in which a hub is associated with an entity (e.g., a related set of records) included in a database. Likewise, the spokes are typically representative of operations (e.g., filter, join, transform) that act upon the hub/entity from which it extends. The map can aid with open-ended analysis on complex databases by recording and ordering competing hypotheses and can also further collaborative efforts with respect to analysis.

Canvas approach for analytics

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Sammamish, WA, United States of America

Alexandre Gorev