Microsoft Technology Licensing, LLC

David A Machaj

Jesse Clay Satterfield

Nazia Zaman

Rebecca J Deutsch

Chantal M Leonard

Sean L Flynn

Rajeev Dubey

Dump file content and other event data is pruned and prioritized to assist analysis of hangs, crashes, and other circumstances. An event data pruner condenses or excludes certain event data. A cluster creator creates clusters from pruned and vectorized event data, using a clustering algorithm and a similarity metric, without any prior specification of the desired number of clusters. A cluster ranker ranks clusters according to event data volume and thread importance, thus prioritizing the event data for inspection. A results presenter configures a user interface to present ranked clusters, their associated data, data reduction statistics, regression analysis results, and other data reduction processing results. Thus, the innovative functionality assists analysis and prioritized inspection of event data by an analyst, surfacing organized event data that is relevant to the circumstance under investigation, or supporting comparison of clusters from before and after a change in the circumstance, or doing both.

Pruning and prioritizing event data for analysis

This document describes techniques and apparatuses for presenting an application change through a tile. These techniques enable a user to see content associated with content changes to an application or other information about the application, such as a new article, new email, or a software update having become available since a user last visited the application. By so doing, the techniques enable a user to forgo visiting the application or permit the user to quickly and easily decide whether or not to visit the application.

Presenting an application change through a tile

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Redmond, WA, United States of America

David A Machaj