Abstract: One or more computing devices, systems, and/or methods for time series trend root cause identification are provided. In particular, an overall trend of multi-dimensional time series data and element trends for measured elements of dimensions within the multi-dimensional time series data is identified. Weighted correlations between the element trends of the measured elements and the overall trend are calculated. The weighted correlations of the measured elements and aggregate weighted correlations of measured element combinations are evaluated to identify a set of measured elements having a threshold correlation to the trend.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, a dataset associated with a plurality of dimensions and a plurality of metrics is identified. A subset of dimensions of the plurality of dimensions and a subset of metrics of the plurality of metrics are selected based upon historical dataset queries. A plurality of sets of results is generated, using the dataset, based upon the subset of dimensions and the subset of metrics. A plurality of significance scores is determined based upon the plurality of sets of results. One or more first sets of results of the plurality of sets of results are selected based upon the plurality of significance scores.

Abstract: One or more computing devices, systems, and/or methods for time series trend root cause identification are provided. In particular, an overall trend of multi-dimensional time series data and element trends for measured elements of dimensions within the multi-dimensional time series data is identified. Weighted correlations between the element trends of the measured elements and the overall trend are calculated. The weighted correlations of the measured elements and aggregate weighted correlations of measured element combinations are evaluated to identify a set of measured elements having a threshold correlation to the trend.

Abstract: One or more computing devices, systems, and/or methods are provided. Activity of one or more client devices may be analyzed to detect one or more sets of network traffic. A set of network traffic may comprise transmission of data by a client device to one or more first hosts and/or reception of data by the client device from one or more second hosts. The one or more sets of network traffic may be analyzed to generate a set of network traffic information associated with a first application. The set of network traffic information may be indicative of a first set of hosts associated with the first application. It may be determined that first network traffic associated with a client device is associated with the first application based upon the first network traffic and the set of network traffic information associated with the first application.

Abstract: One or more computing devices, systems, and/or methods are provided. A first image captured via a first camera is received. The first image is analyzed to identify a first object within the first image. An object tag comprising information associated with the first object is generated. The object tag and/or object information associated with the first object are stored. A second image captured via a second camera is received. The first object is identified within the second image based upon the second image and/or the object information. A representation of the object tag may be displayed via a display device. Alternatively and/or additionally, a location of the first object may be determined based upon the second image. Alternatively and/or additionally, an audio message indicative of the object tag may be output via a speaker.

Abstract: One or more computing devices, systems, and/or methods are provided. Activity of one or more client devices may be analyzed to detect one or more sets of network traffic. A set of network traffic may comprise transmission of data by a client device to one or more first hosts and/or reception of data by the client device from one or more second hosts. The one or more sets of network traffic may be analyzed to generate a set of network traffic information associated with a first application. The set of network traffic information may be indicative of a first set of hosts associated with the first application. It may be determined that first network traffic associated with a client device is associated with the first application based upon the first network traffic and the set of network traffic information associated with the first application.