Blackstone. has been granted a patent for a computer-implemented method that determines data inheritance of segments. The method involves receiving a target data instance, identifying matched segments, dividing the instance into data string ranges, and applying an iterative clustering algorithm to group these ranges based on similarity metrics. GlobalData’s report on Blackstone 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 Blackstone, Customized implants was a key innovation area identified from patents. Blackstone's grant share as of July 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Data inheritance determination for data segments
The granted patent US12050629B1 outlines a computer-implemented method and system for determining data inheritance of data segments. The method begins by receiving a target data instance and identifying multiple matched data segments that correspond to the target for a specified threshold length. It then divides the target data instance into several data string ranges based on the overlapping matched segments. An iterative clustering algorithm is applied to group these data string ranges according to a similarity metric, ultimately attributing a first set of ranges to a first data inheritance. The method also includes provisions for identifying informative sites within the data, managing conflicting data values, and refining the clustering process through multiple stages.
Additionally, the patent describes the system's architecture, which consists of processors and memory configured to execute the outlined instructions. The system retrieves matched data segments from a database, ensuring they meet a second threshold length requirement. The iterative clustering algorithm is designed to enhance the grouping process by examining candidate assignments and optimizing based on an objective function. The method further allows for filtering matched segments and reapplying the clustering algorithm to refine the data inheritance analysis. Overall, the patent presents a structured approach to analyzing data segments and their relationships, which could have applications in various fields, including data management and bioinformatics.
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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.
