PATENT CLAIM ANALYSIS

Application Number: 16027772
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["718", "106000"]

Abstract:
Systems and methods are provided for parallel processing of datasets with dynamic skew compensation. The disclosed systems and methods may increase the efficiency of dataset processing by imposing maximum size limits on parallel processing environment tasks. The disclosed systems and methods may generate a target partition of a variable, a database storing data elements, a cluster that generates one or more output files based on the target partition and the data elements, and a display device that displays analysis results for the target partition using the one or more output files. Generation may comprise creating a calculation partition, mapping data elements according to the calculation partition, and generating the one or more output files based on the mapped data elements. The calculation partition may depend on a target partition and a uniform partition that partitions values based on one or more of statistical measures and pseudorandom functions.

Claim (Index 31):
A non-transitory computer readable medium of  claim 28 , wherein the first variable is a numeric variable and the plurality of statistical measures of the first variable values are either quantiles or estimated quantiles of the first variable values.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.15068
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15140830', '14518593', '13336935', '11585923', '13538336']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3946233482234113
- 35 USC 102 Novelty (BERT): 0.5120381996127061
- Combined Prediction Score: 0.4063648333623407
- Mean Citation Score: 143.898618
- Max Citation Score: 152.37009
- Similarity Product: 102.7257529232794

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test