Dynatrace. has filed a patent for a system and method that uses SuperMinHash based locality sensitive hash signatures to analyze log data. The algorithm improves similarity estimation accuracy for small signatures by using a two-staged approach with related random numbers. GlobalData’s report on Dynatrace gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Dynatrace, Hybrid cloud mgmt was a key innovation area identified from patents. Dynatrace's grant share as of January 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Log data analysis using superminhash for similarity estimation
The patent application (Publication Number: US20240039699A1) describes a method for identifying similar transactions in a computing environment. The method involves receiving a graph representing a current computer transaction, generating a signature of interest from the graph, comparing it to stored signatures derived from previous transactions, and identifying similar transactions based on the comparison. The signature of interest is created by extracting data features from the graph, generating random numbers, creating permutations, and selecting specific numbers to form the signature. The process aims to preserve the connection structure of the graph and efficiently identify similar transactions.
Furthermore, the method extends to identifying similar visits to a monitored application in a computing environment. By receiving a graph representing a sequence of computer transactions executed from a web browser, generating a signature of interest, comparing it to stored signatures, and identifying similar sequences of transactions, the method enhances monitoring capabilities. The extraction of data features, generation of random numbers, and selection process contribute to forming the signature of interest. The method's application in monitoring and analyzing user interactions within a computing environment showcases its potential for improving transaction identification and analysis processes efficiently.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
