US 11,698,919 B2Granted

Aggregating data to form generalized profiles based on archived event data and compatible distributed data files with which to integrate data across multiple data streams

AssigneeSightly Enterprises, Inc.

InventorsAdam Eric Katz, Aman Raghuvanshi, Adam Jarrell Smith, Jacob Maximillian Miesner

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Abstract

Various embodiments relate generally to data science and data analysis, computer software and systems, to provide a platform to facilitate updating compatible distributed data files, among other things, and, more specifically, to a computing and data platform that implements logic to facilitate correlation of event data via analysis of electronic messages, including executable instructions and content, etc., via a cross-stream data processor application configured to, for example, update or modify one or more compatible distributed data files automatically. In some examples, a method may include activating APIs to receive via a message throughput data pipe different data streams, extracting features from data using the APIs, identifying event-related data across data sources, correlating the event-related data to form data representing an even, classifying event-related data into a state classification, determining compatible data at data sources, identifying compatible data, and transmitting integration data to integrate with a data source.

Claims18

Dependent claims

A method comprising:

receiving different data streams via a message throughput data pipe associated with multiple data sources each associated with a processor and memory, the data including at least a portion of executable instructions;
extracting a plurality of features from one or portions of data or the executable instructions to form a plurality of extracted features;
characterizing the plurality of features to classify portions of data as types of one or more of text, video, and audio;
aggregating data representing the plurality of features to form one or more brand intelligence profiles defining the multiple data sources;
receiving integration data to integrate with the subset of the multiple data sources;
filtering the integration data against data representing the one or more brand intelligence profiles to identify the subset of the multiple data sources;
activating a subset of application programming interfaces to transmit a subset of integration data to integrate with the subset of the multiple data sources;
correlating the plurality of extracted features as event data across the different data streams;
computing a rate of diffusivity of the event data;
and
identifying data files at the subset of the multiple data sources based on the rate of diffusivity.

8 more elements

Dependencies are inferred from the claim text.