Abstract: Aspects of the subject disclosure may include, for example, receiving, via an interactive user interface, user selections of a dataset and a first dimension of a plurality of dimensions in a hierarchical structure, wherein the dataset corresponds to a specific domain and comprises anomalies or alerts that are aggregated in certain dimensions, and wherein a lattice of aggregations of the anomalies or alerts is defined for the specific domain, causing the interactive user interface to present a time series chart and a heatmap, wherein the time series chart portrays alert density across dimensions below the first dimension, wherein the heatmap displays, according to a visual scheme, concentrations of the anomalies or alerts across at least a portion of the dimensions below the first dimension, and wherein user interaction with the time series chart and/or the heatmap facilitates navigation of subspaces of the lattice and exploration of the concentrations of the anomalies or alerts.

Abstract: Aspects of the subject disclosure may include, for example, detecting data streams by a processing system including a processor, wherein the processing system is associated with an anomaly detection and alerting system in which stream processing and model maintenance is decoupled from one another, and wherein one or more dedicated virtual machines (VMs) store and maintain anomaly detection and alerting models, based on the detecting, causing, by the processing system, a plurality of stream-processing VMs to be instantiated for processing the data streams, and managing, by the processing system, data stream assignments for the plurality of stream-processing VMs based on monitoring of one or more conditions, wherein the plurality of stream-processing VMs process assigned data streams by executing instances of the anomaly detection and alerting models, and provide model outputs to the one or more dedicated VMs for updating of the anomaly detection and alerting models. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, define operations of modules that monitor a computational hierarchy, the modules include a first module for generating base alerts with a hierarchical key associated with an operation of the computational hierarchy and for rolling up the base alerts based on the computational hierarchy, resulting in rolled-up base alerts; a second module for generating super alerts from a concentration of the rolled up base alerts; and a third module comprising a first plurality of models that selects the super alerts based on priority, persistence of anomalies, pervasiveness of the super alerts generated, recency, or a combination thereof, generates a smart alert based on voting on the super alerts selected by the first plurality of models, and presents the smart alert on a user interface.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations including monitoring, by a plurality of models implemented by the executable instructions, a plurality of data streams comprising super alerts; and generating a smart alert based on voting on the super alerts by the plurality of models. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a first record of sending a file and a hash for the file from a sender of the file; recording the first record on a blockchain; providing the first record to a receiver of the file; and monitoring a predetermined time period in which to receive a second record of receiving the file and the hash for the file. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a first record of sending a file and a hash for the file from a sender of the file; recording the first record on a blockchain; providing the first record to a receiver of the file; and monitoring a predetermined time period in which to receive a second record of receiving the file and the hash for the file. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a first record of sending a file and a hash for the file from a sender of the file; recording the first record on a blockchain; providing the first record to a receiver of the file; and monitoring a predetermined time period in which to receive a second record of receiving the file and the hash for the file. Other embodiments are disclosed.

Abstract: The present invention is directed to a new visualization platform for the interactive exploration of large datasets. The present invention integrates a collection of relevant visualization techniques to provide a new visual metaphor for viewing large datasets. It is capable of providing comprehensive support for data exploration, integrating large-scale data visualization with querying, browsing, and statistical evaluation. A variety of techniques are utilized to minimize processing delays and the use of system resources, including processing pipelines, direct IO, memory mapping, and dynamic linking of “on-the-fly” generated code.

Abstract: A system and method is provided for identifying if a document linked from a base document has changed over time. A first time and a later second time are identified. A link in a base document is recursively identified, where the link refers to a linked document. A version repository is searched to determine if the repository stores versions of the linked document associated with the first and second times. An indication is provided to the user if it is determined that a version associated with the first time and a version associated with the second time are stored in the repository.