PATENT CLAIM ANALYSIS

Application Number: 16246229
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["702", "180000"]

Abstract:
Methods and apparatus for estimating a Lorenz curve for a dataset based on a frequency value associated with the dataset are disclosed. An example apparatus for estimating a Lorenz curve for a dataset representing a distribution of products for individual members of a population includes a frequency identifier and a Lorenz curve generator. The frequency identifier is to access a frequency value associated with the dataset. The frequency value is derived from an occurrence value associated with the products of the dataset and a population value associated with the individual members of the population of the dataset. The frequency identifier is to access the frequency value without directly accessing the occurrence value and the population value. The Lorenz curve generator is to generate an estimated Lorenz curve for the dataset using a Lorenz curve estimation function including the frequency value.

Claim (Index 23):
The tangible machine-readable storage medium of  claim 19 , wherein the Lorenz curve estimation function is derived from a maximum entropy distribution function.

Metadata:
- Claim Count in Document: 52.0
- Percentile: 99.0
- Lexical Diversity: 3.04167
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15515057', '11943192', '10142169', '15320240', '14452753']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1953691417665505
- 35 USC 102 Novelty (BERT): 0.4751090611523066
- Combined Prediction Score: 0.2233431337051262
- Mean Citation Score: 117.8691102
- Max Citation Score: 137.30663
- Similarity Product: 94.0562940466392

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

Dataset: test