Abstract:
Assisted clustering systems and methods are described herein that provide a user interface by which a user can easily create clusters and selectively associate data items with such clusters. Information regarding data item-cluster associations made by the user is processed by a recommendation engine to learn a clustering model. The clustering model is then be used to generate recommendations for the user regarding which unassociated data items should be associated with which clusters. In certain embodiments, after the user has determined that the clustering model is performing at a satisfactory level based on the quality of the recommendations, the user can cause the system to automatically cluster a large quantity of remaining unassociated data items. In accordance with further embodiments, a user can specify arbitrary data item types for clustering as well as features of such data types that should be considered in generating the clustering model.
Abstract:
A system and method for identifying a root cause of a wait in a computer system are provided. Given the identity of a thread of interest and time window, a longest wait period for the thread of interest within the time window is identified. The longest wait period is used as a starting node to generate a ready tree by walking backwards through the data in a system trace to construct a tree of readying events that ready threads for running on a processor. A potentially anomalous chain of events is automatically identified and highlighted in the ready tree. A visualization of the ready tree is presented to a user so that the user can explore the events in the tree and annotate the automatically generated tree to aid in problem diagnosis.
Abstract:
A chart animation module is described herein that animates a transformation of a first chart into a second chart. The transformation, for instance, can correspond to a grouping-type transformation, a filtering-type transformation, or a transposing-type transformation. In one implementation, the chart animation module performs the transformation in such a manner so as to create a visual perception that there is a conservation of area and preservation of identify of constituent elements that are moved from the first chart to the second chart. The chart animation module can move the constituent elements in the form of blocks or particles.
Abstract:
The claimed subject matter provides a system and/or a method that facilitates creating a calendar that enables optimized awareness of at least one event. An interface component can receive data related to an event. An enhanced scheduler component can create a calendar that enables a bifocal calendar view to display an event correlated to a first date with a first time-scale and an event correlated to a second date with a second time-scale.
Abstract:
A unique system, method, and user interface that facilitate ordering personal items based on past personal interaction between a user and the user's correspondents are provided. In particular, the system provides alternative views of information, such as messages, that is organized around people using an ordering based on the history of communication between the recipient and sender. Social metrics can be calculated based on social metadata associated with the messages, for example. Metrics can be used to configure how or which messages are viewed and their order in one or more pane views. Each pane view can present different orderings of messages—which are displayed by the recipient or sender of the message. So for instance, instead of viewing messages in chronological receipt date, they can be viewed by the message's sender and ordered by the number of messages previously sent to the user.
Abstract:
Under the present invention, an image is progressively blurred to yield a set of (progressive) scaling levels. Once blurred, the edges of the image are detected so that each image segment can be identified on each scaling level. Once the segments are identified, like segments (i.e., segments having a like edge/Gaussian operator) on successive scaling levels are linked to yield a lattice structure that represents the perceptual organization of the image.
Abstract:
An overwhelming number of articles are available everyday via the internet. Unfortunately, it is impossible to peruse more than a handful, and it is difficult to ascertain an article's social context. The techniques disclosed herein address this problem by harnessing implicit and explicit contextual information from social media. By extracting text surrounding a hyperlink to an article in a post and assessing the article as a function of content surrounding the hyperlink, an article's social context is determined and presented. Additionally, articles that are sufficiently similar in content may be grouped to establish a many-to-one relationship between posts and an article, creating a more accurate assessment.
Abstract:
A system facilitates dynamic data visualizations. The system includes an analysis component that periodically processes one or more incoming data streams to determine a visualization form from a plurality of visualization forms. A visualization component dynamically generates the visualization form based in part on the processing of the incoming data streams.
Abstract:
Incremental query results and confidence interval values associated with respective incremental query results may be obtained. Visualization shape objects indicating uncertainty values may be determined, based on mapping values of respective incremental query results and confidence interval values to points in the associated visualization shape objects, the uncertainty values visualized based on proportional shapes of the visualization shape objects. At least one visualization comparison object representing a comparison of a plurality of distributions associated with the obtained incremental query results and confidence interval values may be determined. Display of the plurality of visualization shape objects and the at least one visualization comparison object may be initiated.
Abstract:
The subject disclosure is directed towards simulating query execution to provide incremental visualization for a global data set. A data store may be configured for searching at least a portion of a global data set being stored at an enterprise-level data store. In response to a user-issued query, partial query results are provided to a front-end interface for display to the user. The front-end interface also provides statistical information corresponding to the partial query results in relation to the global data set, which may be used to determine when a current set of query results becomes acceptable as a true/accurate estimate.