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 10):
A computer program product, comprising:\n a computer-readable storage device; and a computer-readable program code stored in the computer-readable storage device, the computer-readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of rationalizing operational data, the method comprising the steps of:\n an augmentation gateway determining that a current data transaction of a business is not a new transaction by determining that a source, a destination, and a data connection being used by the current data transaction matches a record in a registry of transactions previously processed by an operational data rationalization system, the augmentation gateway being a proxy server included in the computer system and in a path of two or more transacting business applications and the operational data rationalization system being executed by the CPU in the computer system; \n the computer system determining that persisted knowledge of a plurality of previous data transactions of the business stored in a data repository does not include a previous data profile that matches a current data profile of a current dataset being utilized in the current data transaction, the previous data profile being a data profile of a previous dataset utilized in a previous data transaction included in the plurality of previous data transactions; \n based on the persisted knowledge not including the previous data profile that matches the current data profile, the computer system generating a sample of the current dataset by employing a stochastic data sampling technique; \n based on the persisted knowledge not including the previous data profile that matches the current data profile, the computer system determining and updating a data size correction and a data shape correction by employing iterations of a statistical inference technique; \n subsequent to the iterations of the statistical inference technique, the computer system correcting data in the sample of the current dataset by utilizing the data size correction and the data shape correction to provide the data in the sample with a level of confidence that exceeds a threshold, the level of confidence being a measure that the data in the sample matches requirements of the business; \n the computer system updating configurations in the persisted knowledge with parameters of the statistical inference technique, the data size correction, the data shape correction, and one or more filtering rules for correcting the current dataset; \n based on the updated configurations in the persisted knowledge, the computer system generating recommendations of modifications to one or more queries of the current data transaction; \n the computer system determining that an application of the recommendations of the modifications to the one or more queries provides data in the current dataset with the level of confidence of matching the requirements of the business that exceeds the threshold; and \n based on the application of the recommendations providing the data in the current dataset with the level of confidence exceeding the threshold, the augmentation gateway in the computer system modifying the one or more queries of the current data transaction to provide the data in the current dataset with the 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: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14590261', '14982376', '13200880', '14610521', '15615116']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0893740329274039
- 35 USC 102 Novelty (BERT): 0.6146984625490954
- Combined Prediction Score: 0.1419064758895731
- Mean Citation Score: 218.48983200000004
- Max Citation Score: 540.5174
- Similarity Product: 536.8351504709005

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