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 8):
The computer system of  claim 6 , wherein the method further comprises the steps of:\n the augmentation gateway determining that a source, a destination, and a data connection being used by a second data transaction does not match any one of the records in the registry of transactions previously processed by the operational data rationalization system; based on the determination that the source, destination, and data connection being used by the second data transaction does not match any one of the records in the registry, the augmentation gateway determining that the second data transaction is the new transaction; based on the second transaction being the new transaction, the computer receiving a second dataset being utilized in the second data transaction; the computer determining a second data profile of the second dataset; the computer determining that the persisted knowledge does not include the previous data profile that matches the second data profile; based on the persisted knowledge not including the previous data profile that matches the second data profile, the computer generating a second sample of the second dataset by employing the stochastic data sampling technique; based on the persisted knowledge not including the previous data profile that matches the second data profile, the computer determining and updating a second data size correction and a second data shape correction by employing second iterations of the statistical inference technique; subsequent to the second iterations of the statistical inference technique, the computer correcting data in the second sample of the second dataset by utilizing the second data size correction and the second data shape correction to provide the data in the second sample with a second level of confidence that exceeds the threshold, the second level of confidence being a measure that the data in the second sample matches the requirements of the business; based on the second data size correction and the second data shape correction, the computer determining second one or more filtering rules for correcting the second dataset; the computer updating second configurations in the persisted knowledge with second parameters of the statistical inference technique, the second data size correction, the second data shape correction, and the second one or more filtering rules; based on the updated second configurations in the persisted knowledge, the computer generating second recommendations of second modifications to one or more queries of the second data transaction; the computer determining that an application of the second recommendations of the second modifications to the one or more queries of the second data transaction provides data in the second dataset with the second level of confidence of matching the requirements of the business that exceeds the threshold; and based on the application of the second recommendations providing the data in the second dataset with the second level of confidence exceeding the threshold, the augmentation gateway modifying the one or more queries of the second data transaction to provide the data in the second dataset with the second level of confidence exceeding the threshold.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 100.0
- Lexical Diversity: 2.28125
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14590261', '14982376', '13200880', '14610521', '15615116']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1013556922253975
- 35 USC 102 Novelty (BERT): 0.6048756398025514
- Combined Prediction Score: 0.1517076869831129
- Mean Citation Score: 218.48983200000004
- Max Citation Score: 540.5174
- Similarity Product: 484.7653765923142

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