PATENT CLAIM ANALYSIS

Application Number: 15895840
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["705", "007310"]

Abstract:
There is disclosed apparatuses and methods for performing stepwise regression analysis on industry data. These apparatuses include a processor and memory which comprise circuits and software for performing the instructions on a storage medium comprising accessing a set of data specific to a business environment wherein the set of data comprises a set of values for a set of variables that describe a business environment; receiving a selection of a first variable from the set of variables; generating a correlation table, wherein the correlation table is generated by determining a correlation between the first variable and each remaining variable in the set of variables; and rank-ordering each of the remaining variables in the set of variables based on the correlation; and displaying the correlation table.

Claim (Index 1):
A method for efficiently operating a computing device for stepwise regression analysis to identify which of a plurality of features to assign to a type of product, the method comprising:\n receiving a set of data which comprises a set of values for demand for each of the features; the computing device creating a set of bins in memory, each bin corresponding to one of the features and storing the respective set of values associated therewith; the computing device creating a demand frontier curve, comprising a curve showing the highest value in the set of values for the set of bins; the computing device creating an average demand curve, comprising a curve which shows an average for each of the set of bins and is determined by determining the average for the set of values for each of the set of bins; and the computing device determining an aggregate demand curve based on the demand frontier curve and the average demand curve to identify which of the plurality of features will have the highest demand.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 88.0
- Lexical Diversity: 2.12903
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15213941', '13173357', '13445796', '13403863', '09742472']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0950646765691266
- 35 USC 102 Novelty (BERT): 0.4556282261932302
- Combined Prediction Score: 0.131121031531537
- Mean Citation Score: 125.5089108
- Max Citation Score: 129.34561000000002
- Similarity Product: 97.9840246341193

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

Dataset: test