PATENT CLAIM ANALYSIS

Application Number: 15991453
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["708", "200000"]

Abstract:
Systems and methods are provided for bounded error matching of large scale numeric datasets. For example, a method includes generating a first synopsis for a first numeric dataset maintained in a data repository, receiving a user query to search for numeric datasets in the data repository which are related to a second numeric dataset, generating a second synopsis of the second numeric dataset, performing a hounded error matching process based on an error threshold value by comparing the second synopsis to the first synopsis to determine a match score between the first and second numeric datasets, the match score providing a measure of similarity between the first and second synopses, and responsive to results of the bounded error matching process, returning a query result to the user, which includes an identification of the first numeric dataset and the determined match score between the first and second numeric datasets.

Claim (Index 16):
The article of manufacture of  claim 11 , wherein the hounded error matching process comprises an iterative process which comprises:\n selecting a first error threshold value and performing a first iteration of the bounded error matching process for determining a first match score between the first and second numeric datasets based on the first error threshold value, wherein the first match score provides a measure of similarity between the first and second synopsis data structures of the first and second numeric datasets, wherein the first and second synopsis data structures in the first iteration are constructed based on the first error threshold value; selecting a second error threshold value, which is greater than the first error threshold value, and performing a second iteration of the bounded error matching process for determining a second match score between the first and second numeric datasets based on the second error threshold value, wherein the second match score provides a measure of similarity between the first and second synopsis data structures of the first and second numeric datasets, wherein the first and second synopsis data structures in the second iteration are constructed based on the second error threshold value; and determining a final match score using the first and second match scores.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.54839
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12022601', '14672516', '13175611', '11906614', '14995090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3958836092630763
- 35 USC 102 Novelty (BERT): 0.4915669094014157
- Combined Prediction Score: 0.4054519392769102
- Mean Citation Score: 174.678348
- Max Citation Score: 192.20882
- Similarity Product: 145.04187318170432

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

Dataset: test