PATENT CLAIM ANALYSIS

Application Number: 16444064
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["705", "007110"]

Abstract:
An approach is provided for rationalizing operational data. Persisted knowledge of previous data transactions is determined to not include a previous data profile matching a current data profile. Stochastic data sampling generates a sample of a current dataset. Data size and shape corrections are determined and updated by iterations of a statistical inference technique. Data in the sample is corrected by using the data size and shape corrections to provide a confidence level exceeding a threshold. Persisted knowledge configurations are updated with parameters of the statistical inference technique, the data size and shape corrections, and filtering rule(s). A recommended modification of a query of a current data transaction is determined to provide data in the current dataset with the level of confidence exceeding the threshold. The recommended modification is applied to the query.

Claim (Index 2):
The method of  claim 1 , further comprising the steps of:\n the computer receiving a data size correction and data shape correction from a statistical inference that was performed on a sample of the previous dataset prior to a receipt by the computer of the current data transaction; and based on the statistical inference, the computer determining a first level of confidence that data in the current dataset matches requirements of the business, and determining the first level of confidence is less than a second level of confidence that data in the previous dataset matches the requirements of the business, wherein the step of determining the one or more filtering rules for correcting the current dataset is based on the first level of confidence that data in the current dataset matches requirements of the business being less than the second level of confidence that data in the previous dataset matches the requirements of the business.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 100.0
- Lexical Diversity: 2.28125
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14590261', '14982376', '13200880', '14610521', '15615116']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0894228851954011
- 35 USC 102 Novelty (BERT): 0.6143429117745287
- Combined Prediction Score: 0.1419148878533139
- Mean Citation Score: 218.48983200000004
- Max Citation Score: 540.5174
- Similarity Product: 535.286720309496

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

Dataset: test