Binary Data Encoding for Faster Large-Scale Analysis
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Solution Overview
Problem
Analyzing large data sets is time-consuming due to the significant computational bandwidth required, making it difficult to efficiently discover trends and conditions within the data.
Innovation Solution
A method for data encoding that calculates a classification set for a data group, encoding each data value with classification values in a binary string, allowing for rapid analysis by transforming the data into a form conducive to accelerated processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data analysis methods are used on large data sets, then comprehensive analysis can be performed, but the analysis process becomes very time-consuming and requires significant computational bandwidth
Solution Approach 1:
The patent segments data values into classification categories, where each bit position in the encoded binary string represents a specific classification. This segmentation allows parallel processing of multiple data points simultaneously, dramatically improving analysis speed while reducing the time required to process large data sets
Solution Approach 2:
The patent transforms data from its original format into an encoded binary representation where each bit position corresponds to a classification category. This parameter transformation enables more efficient computational operations, allowing the system to achieve faster analysis speeds with reduced computational bandwidth requirements
Data Source
AI summary
For encoding data for analysis acceleration, a method calculates a classification set for a data group of a data set including a plurality of entries. The classification set includes a finite plurality of classification values. Each classification value is associated with a bit position in a data binary string of a specified binary length. The method further encodes each data value of the data group for each entry with one of the plurality of classification values in a corresponding data binary string for the entry.